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Faculty

  • Hongyu Zhao

    Department Chair and Ira V. Hiscock Professor of Biostatistics, Professor of Genetics and Professor of Statistics and Data Science

    Research Interests
    Genetics; Public Health; Computational Biology; Statistics; Genomics; Herbal Medicine; Proteomics; Biostatistics; Microbiota

    Dr. Hongyu Zhao is the Ira V. Hiscock Professor of Biostatistics and Professor of Statistics and Data Science and Genetics, Chair of the Biostatistics Department and the Co-Director of Graduate Studies of the Inter-Departmental Program in Computational Biology and Bioinformatics at Yale University. He received his B.S. in Probability and Statistics from Peking University in 1990 and Ph.D. in Statistics from the University of California at Berkeley in 1995. His research interests are the applications of statistical methods in molecular biology, genetics, drug developments, and precision medicine.

    Some of his recent projects include large scale genome wide studies to identify genetic variants underlying complex diseases, genetic risk prediction, biological network modeling and analysis, disease biomarker identification, genome annotation, cancer genomics, microbiome analysis, single cell analysis, image analysis, and systems biology study of herbal medicine. He has published over 480 articles in statistics, human genetics, bioinformatics, and proteomics, and edited two books on human genetics analysis and statistical genomics. He has trained over 70 doctoral and post-doctoral students, many of whom are holding tenured or tenure-track positions at major universities in the states and overseas.

    Dr. Zhao is a Co-Editor of the Journal of the American Statistical Association Theory and Methods, and serves on the editorial boards of several leading statistical and genetics journals. He was the recipient of the Mortimer Spiegelman Award for a top statistician in health statistics under the age of 40 awarded by the American Public Health Association and the Pao-Lu Hsu Award from the International Chinese Statistical Association. His research has also been recognized by the Evelyn Fix Memorial Medal and Citation by UC Berkeley, a Basil O'Connor Starter Scholar Award by the March of Dimes Foundation, election to the fellowship of the American Association for the Advancement of Science, the American Statistical Association, and the Institute of Mathematical Statistics.

  • Cynthia Brandt

    Professor of Emergency Medicine and of Anesthesiology

    Research Interests
    Health Services; Medical Informatics; Medical Informatics Applications; Preventive Medicine; Public Health; Public Health Informatics; Informatics

    Dr. Brandt completed a general Preventive Medicine residency at Madigan Army Medical Center in 1989 and a post-doctoral fellowship sponsored by the National Library of Medicine at Yale School of Medicine in 1997. She is board certified in Preventive Medicine and Clinical Informatics. Her research is interdisciplinary and focuses on issues related to the design, development and use of informatics tools in the domain of clinical research, as well as health services research.

  • Maria Ciarleglio

    Associate Professor of Biostatistics (Biostatistics)

    Maria Ciarleglio is an associate professor at the Yale School of Public. An expert in design, analysis and monitoring of clinical trials, she worked with the Cooperative Studies Program Coordinating Center at the Department of Veterans Affairs in West Haven, Connecticut for several years after completing her PhD at Yale. Her current research is focused on hybrid Bayesian-frequentist clinical trial design.

  • Elizabeth Claus

    Professor of Biostatistics; Director of Medical Research, School of Public Health; Director of Stereotactic Radiosurgery, Department of Neurosurgery, Brigham and Women's Hospital

    Research Interests
    Breast Neoplasms; Epidemiology; Meningioma; Neurosurgery; Statistics as Topic; Central Nervous System Neoplasms

    Elizabeth B. Claus, MD, PhD is Professor and Director of Medical Research in the Yale University School of Public Health as well as Attending Neurosurgeon and Director of Stereotactic Radiosurgery within the Department of Neurosurgery at Brigham and Women’s Hospital in Boston. She is a member of the board of advisors for the Acoustic Neuroma Association (ANA) as well as the Central Brain Tumor Registry of the United States (CBTRUS). Dr. Claus' work is focused in cancer and genetic epidemiology with an emphasis on the development of risk models for breast and brain tumors. She is the overall PI of the Meningioma Consortium, the Meningioma Genome-Wide Association Study, and the Yale Acoustic Neuroma Study as well as a co-investigator of the GLIOGENE (Genes for Glioma) and International Glioma Case/Control (GICC) projects. In addition to her research activities, Dr. Claus is a Board-certified neurosurgeon who completed her residency in neurosurgery at Yale-New Haven Hospital and her fellowship in neurosurgical oncology at Brigham and Women’s Hospital. Her clinical focus is on the treatment of meningioma, glioma, acoustic neuroma and brain metastases. In partnership with national patient brain tumor organizations including the American Brain Tumor Association (ABTA), the National Brain Tumor Society (NBTS) and the ANA, Dr. Claus is working to develop cost- and time-efficient web- and smartphone- based recruitment strategies to be used in the study of brain tumors. She has developed such work in collaboration with the ANA and recently received pilot funding from the ABTA/NBTS to commence development of a web-based registry for patients with low grade glioma in an effort to advance research efforts for this group of patients (http://www.abta.org/brain-tumor-research/low-grade...).

  • Forrest W. Crawford

    Associate Professor of Biostatistics, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Management, and Associate Professor of Statistics and Data Science

    Forrest Crawford's work focuses on mathematical and statistical problems related to discrete structures and stochastic processes in epidemiology, public health, biomedicine, and evolutionary science.

  • Denise Esserman

    Associate Professor of Biostatistics

    Research Interests
    Longitudinal Studies; Public Health; Sampling Studies; Randomized Controlled Trial; Biostatistics

    Denise Esserman joined the Yale School of Public Health faculty in 2014 as an associate professor of biostatistics. She is interested in methods related to clustered randomized trials and the impact of the ICC and other factors on calculating sample size. As a member of the Yale Center for Analytical Sciences, she collaborates with a number of departments at the Yale School of Medicine, including the Clinical and Translational Science Award Program, Patient-Centered Outcomes Research Institute, and the Cancer Center. She has reviewed articles for the American Journal of Epidemiology, Arteriosclerosis, Thrombosis and Vascular Biology; Statistics in Biopharmaceutical Research; Clinical Trials; and Obesity. Esserman earned her doctorate at Columbia University and has since taught at the University of North Carolina, Chapel Hill.

  • Assistant Professor of Biostatistics (Biostatistics)

    Research Interests
    Behavioral Sciences; Health Plan Implementation; HIV; Global Health; Causality; Clinical Trial; Social Networking; Observational Study

    Laura Forastiere is an Assistant Professor in the Department of Biostatistics at Yale School of Public Health. Her methodological research is focused on methods for assessing causal inference for evidence-based research, exploring the mechanisms underlying the effect of an intervention including causal pathways through intermediate variables or mechanisms of peer influence and spillover between connected units. Her research explores modeling, inferential, and other methodological issues that often arise in applied problems with complex clustered and network data, and standard statistical theory and methods are no longer adequate to support the goals of the analysis. Laura is eager to apply advanced statistical methodology to provide evidence on effective strategies to improve the health and wellbeing of vulnerable populations. She is particularly interested in exploring behavioral interventions that, relying on theories of behavioral economics and social phycology, exploit social interactions and peer influence among individuals.She is involved in many program evaluations and research studies in low- and middle-income countries on malaria, HIV and other STDs, maternal and child health, nutrition, cognitive development, health insurance and microcredit.Dr. Forastiere received her Ph.D. in Statistics from the University of Florence (Italy) and postdoc training in statistics and biostatistics at Harvard University. Prior to joining the Department of Biostatistics at Yale School of Public Health, she was a Postdoctoral Associate in the Yale Institute for Network Science.

  • Assistant Professor of Biostatistics (Biostatistics)

    Research Interests
    Genetics; Neurosciences; Computational Biology; Statistics; Gene Regulatory Networks; Metabolic Networks and Pathways; Machine Learning

    Leying Guan is an Assistant Professor of Biostatistics at Yale University. She received her Ph.D from the Statistics department at Stanford in 2019. Her research primarily focuses on developing statistical and machine learning methods driven by scientific applications. Some of her recent works are on high dimensional statistics, large-scale hypothesis testing, and machine learning approaches in the presence of distributional shift and outliers.  

  • Theodore Holford

    Susan Dwight Bliss Professor of Biostatistics and Professor of Statistics and Data Science

    Research Interests
    Asthma; Lung Neoplasms; Public Health; Global Health; Statistics; Geographic Information Systems

    Theodore Holford, Ph.D, is Susan Dwight Bliss Professor of Epidemiology and Public Health (Biostatistics). His scholarly work involves the development and application of statistical methods in public health and the training of individuals developing careers in health research. He developed an approach for analyzing temporal trends in disease rates using the age-period-cohort modeling framework that has be used extensively in the analysis of cancer incidence and mortality trends. He currently has NCI funding for research that extends and applies his population model for lung cancer that can be used for evaluating cancer intervention strategies as part of the Cancer Intervention and Surveillance Modeling Network (CISNET). Ongoing research using this model focuses on quantifying the effects of cigarette smoking policy on lung cancer mortality, as well as effects of screening and treatment. He has developed and applied methods for using Geographic Information Systems (GIS) in environmental epidemiology. This work provides approaches for analyzing the effect of traffic related air pollution on childhood asthma. Finally, Dr. Holford has played a leading role in training both pre-doctoral and post-doctoral students in biostatistics and epidemiology, including assessment of the effects of environmental exposure on disease risk.

  • Michael Kane

    Assistant Professor of Biostatistics

    Research Interests
    Statistics

    Michael Kane is an Assistant Professor in Yale University's Biostatistics Department. He is interested in Scalable Statistical/Machine Learning, Statistical Computing, and Applied Probability.

  • Fan Li

    Assistant Professor of Biostatistics

    Research Interests
    Health Services Research; Longitudinal Studies; Causality; Biostatistics; Propensity Score; Observational Study; Pragmatic Clinical Trial

    Fan Li is an Assistant Professor in the Department of Biostatistics at the Yale School of Public Health. He received his Ph.D. degree in Biostatistics at Duke University in 2019. Dr. Li’s research focuses on comparative effectiveness methodology in pragmatic randomized trials and observational studies. For pragmatic trials, he has advanced the covariate-constrained randomization techniques to design cluster randomized trials, and developed the marginal model framework for the design and analysis of complex longitudinal cluster randomized trials, including the crossover and stepped wedge cluster randomized trials. For observational studies, he has contributed propensity score weighting methods for causal inference with difference-in-differences designs and multiple treatments. He is also interested in applying contemporary comparative effectiveness methodology to address challenges in collaborative settings such as epidemiology, health services research, emergency medicine among others.  

  • Haiqun Lin

    Associate Professor of Biostatistics

    Research Interests
    Public Health; Statistics; Biostatistics

    Dr. Haiqun Lin has been a faculty member in biostatistics since upon her graduation with a PhD in Biometry and Statistics from Cornell University in 2000. Her research expertise includes longitudinal and multilevel data analysis. Prior to her education and career in biostatistics, she obtained a medical degree from Peking University Health Science Center and worked for Chinese Center for Disease Control and Prevention. She obtained her Masters degree in cellular and molecular biology prior to her pursuit of the PhD.

  • Shuangge Steven Ma

    Professor of Biostatistics

    Research Interests
    Economics; Neoplasms

    Dr. Ma received his Ph.D. degree in statistics at University of Wisconsin in 2004. Prior to arriving at Yale, Dr. Ma was a Senior Fellow in Collaborative Health Studies Coordinating Center (CHSCC) and Department of Biostatistics at University of Washington. He has been involved in developing novel statistical and bioinformatics methodologies for analysis of cancer (NHL, breast cancer, melanoma, lung cancer), mental disorders, and cardiovascular diseases. He has also been involved in health economics research, with special interest in health insurance in developing countries.

  • Robert Makuch

    Professor of Biostatistics and in the Child Study Center; Director, Regulatory Affairs Track; Director, Regulatory Affairs Track

    Research Interests
    Infant, Premature; Public Health; Smoking Cessation; Clinical Trials, Phase IV as Topic; Biostatistics

    Robert Makuch is a Professor in the Department of Biostatistics at the Yale School of Public Health and Director of the Regulatory Affairs Track. A graduate of the University of Connecticut (BA), University of Washington (MA – mathematics), and Yale University (MPhil, PhD), Professor Makuch worked at the National Cancer Institute (NCI) and the World Health Organization’s International Agency for Research on Cancer early in his career. He also worked for six months at the National Cancer Research Center in Tokyo, Japan.

    He also was heavily involved in HIV research from the mid 80's through the early-mid 90's. He participated on the data monitoring committee for the original AZT vs. placebo randomized clinical trial in AIDS patients, and served on numerous committees for the NCI and the National Institute of Allergy and Infectious Diseases. He also worked closely with the Food and Drug Administration (FDA), developing and implementing more than 200 HIV studies. He also served as a Special Government Employee (SGE) to the FDA. He returned to Yale in 1986, and has worked extensively on methodologic issues in clinical trials and large population-based studies since. Another area of current interest involves detection of rare adverse drug events, especially in the post-marketing environment.

    These areas of methodologic research evolved as a result of his continued interest (since the mid 1980s) in regulatory affairs science. In addition, Makuch developed a regulatory affairs track at YSPH for graduate and post-doctoral level students, and over the past 10 years has been the leader of more than 25 training programs for senior delegations of the Chinese Food and Drug Administration. His areas of medical application include cancer, HIV, arthritis, and cardiovascular disease.

    In 2003, Makuch received the American Statistical Association Fellow Award for his numerous contributions to the field. In 2008, Makuch was received a Distinguished Alumni Award from the University of Connecticut. In 2012, Makuch was nominated to serve on the University of Connecticut Dean's Advisory Board for the College of Liberal Arts and Sciences. He also has been a decades-long member of Phi Beta Kappa. He also developed a 5-year biostatistics training program in Japan, in collaboration with the Japanese government. His primary research interests continue to be methodologic issues in the design, conduct, analysis, and interpretation of clinical and large-population/epidemiologic studies. Design and sample size considerations for Phase IV studies is another active research area, in which a new class of hybrid designs has been proposed for scientific and regulatory purposes to detect rare adverse events.

  • Robert McDougal

    Assistant Professor of Biostatistics

    Research Interests
    Computer Simulation; Neurons; Computational Biology; Informatics

    Robert A. McDougal, Ph.D. is an Assistant Professor in the Health Informatics Division of the Department of Biostatistics. He is affiliated with the Computational Biology and Bioinformatics graduate program, the Yale Center for Medical Informatics, and the Center for Biomedical Data Science. His research focuses on developing methods for aggregating, computationally representing, analyzing, and modeling experimental data, with emphasis on understanding brain function and dysfunction.

    Dr. McDougal is currently a PI on two NIH grants: one which develops techniques to mine, visualize, and disseminate neuroscience information, and one that seeks to build efficient methods for simulating the interaction of intracellular and network dynamics in the brain. Recent collaborations include a project to detect trends in the use of animal models and interventions in the Alzheimer's literature, and a project to use computational modeling to interpret magnetoencephalography (MEG) data. As an elected member of the NeuroML Editorial Board, he helps design future standards for sharing computational neuroscience models.

    Dr. McDougal earned his Ph.D. in Mathematics from The Ohio State University in 2011. He did postdoctoral training at Yale in computer science, neurobiology, and medical informatics; during the later, he earned an MS in Computational Biology and Bioinformatics from Yale. From 2016 until joining the Department of Biostatistics in 2019, he was an Associate Research Scientist at Yale University in the Department of Neuroscience.

  • Peter Peduzzi

    Professor of Biostatistics; Director, Yale Center for Analytical Sciences (YCAS); Director Yale Data Coordinating Center

    Research Interests
    Aging; Clinical Trials as Topic; Biostatistics; Patient Preference; Pragmatic Clinical Trials as Topic

    Peter is professor of biostatistics at YSPH and director of the Yale Center for Analytical Sciences (YCAS) and the Yale Data Coordinating Center. Dr. Peduzzi has nearly 40 years’ experience in the design, conduct and analysis of clinical trials with a particular focus on pragmatic trials. He is the PI of several data coordinating centers funded by NIH and PCORI. Before coming to Yale he was the Director of the Department of Veterans Affairs (VA) Cooperative Studies Program Coordinating Center in West Haven, Connecticut, which conducts multi-center, multi-national clinical trials and epidemiologic studies. He still maintains an affiliation with this center. His primary research interests have focused on the efficient design and analysis of clinical trials, with a recent focus on clustered randomized trials.

  • Donna Spiegelman

    Susan Dwight Bliss Professor of Biostatistics; Director, Center for Methods in Implementation and Prevention Science (CMIPS); Director, Interdisciplinary Research Methods Core, Center for Interdisciplinary Research on AIDS; Assistant Cancer Center Director, Global Oncology, Yale Cancer Center

    Research Interests
    Epidemiologic Methods; Health Plan Implementation; Obesity; Global Health; HIV Infections; Clinical Trial

    Donna Spiegelman was appointed the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health in 2018. As one of the few people in the world with a joint doctorate in biostatistics and epidemiology, she can freely speak the languages of both disciplines and switch between these two professional cultures, playing the role of interlocutor for either. Her research is motivated by problems which arise in epidemiology and require biostatistical solutions. In particular, but by no means exclusively, she has focused on methods for study design and data analysis which reduce bias in estimation and inference due to measurement error or misclassification in the exposure variable. She has extensive experience in troubleshooting and solving methodological issues that arise in longitudinal investigations, in clinical trials, and in large scale public health effectiveness evaluations. 

    Dr. Spiegelman, formerly at the Harvard T.H. Chan School of Public Health, had a dynamic role as a professor, mentor, and an expert statistician. She was the recipient of the NIH Director’s Pioneer Award and  recently the recipient of the CAWF (Committee on the Advancement of Women Faculty) Mentoring Award.

  • Jeffrey Townsend

    Elihu Professor of Biostatistics and Professor of Ecology and Evolutionary Biology

    Research Interests
    Algorithms; Bacteria; Bacterial Infections and Mycoses; Beer; Bread; Cell Transformation, Neoplastic; Coccidioidomycosis; Computing Methodologies; Biological Evolution; Fungi; Genetic Engineering; Microbiological Phenomena; Models, Genetic; Models, Theoretical; Mycoses; Neoplasm Metastasis; Neoplasms; Phylogeny; Viruses; Wine; Models, Statistical; Likelihood Functions; Logistic Models; Polymerase Chain Reaction; Sequence Analysis, DNA; Nonlinear Dynamics; Molecular Epidemiology; Gene Transfer Techniques; Crops, Agricultural; Evolution, Molecular; Nature; Sequence Analysis, Protein; Gene Expression Profiling; Public Health Informatics; Microarray Analysis; Genetic Speciation; Host-Pathogen Interactions; Genetic Phenomena; Mathematical Concepts; Organisms; Phenomena and Processes

    Professor Townsend received his Ph.D. in 2002 in organismic and evolutionary biology from Harvard University, under the advisement of Daniel Hartl. His Ph.D. was entitled "Population genetic variation in genome-wide gene expression: modeling, measurement, and analysis", and constituted the first population genetic analysis of genome-wide gene expression variation. After making use of the model budding yeast S. cerevisiae for his Ph.D. research, Dr. Townsend accepted an appointment as a Miller Fellow at the University of California-Berkeley in the Department of Plant and Microbial Biology, where he worked to develop molecular tools, techniques, and analysis methodologies for functional genomics studies with the filamentous fungal model species Neurospora crassa, co-advised by Berkeley fungal evolutionary biologist John Taylor and molecular mycologist Louise Glass. In 2004, he accepted his first appointment as an Assistant Professor in the Department of Molecular and Cell Biology at the University of Connecticut. In 2006 he was appointed as an Assistant Professor the Department of Ecology and Evolutionary Biology at Yale University. In 2013 he began to work on statistical approaches to fit mathematical models of disease spread and emergence, and to work on the somatic evolution of cancer, and was appointed as an Associate Professor of Biostatistics and Ecology & Evolutionary Biology, in 2017 he was named Elihu Associate Professor of Biostatistics and Ecology & Evolutionary Biology, and in 2018 he was appointed Elihu Professor of Biostatistics and Ecology & Evolutionary Biology.

  • Zuoheng Anita Wang

    Associate Professor of Biostatistics

    Research Interests
    Statistics; Genomics; Biostatistics

    Dr. Wang is Associate professor of Biostatistics at Yale School of Public Health. Her research focuses on combining genetics, genomics, immunology, and statistical modeling to answer biologically important questions in genetic epidemiological studies and cancer research. Dr. Wang's statistical expertise lies in kernel machine methods, mixed effects models, correlated data, and longitudinal data analysis. She develops statistically innovative methods and computationally efficient tools in large-scale genetic and genomic studies to identify genetic susceptibility variants and advance the understanding of the etiology of complex diseases including alcohol and drug abuse, asthma, obesity, cardiovascular diseases, and cancer. Current studies include using next-generation sequencing data to detect rare genetic variants in longitudinal genetic studies, combining knowledge in genomics and immunology to understand the risk of breast cancer survival, and differential gene expression in single-cell RNA sequencing data.

  • Joshua Warren

    Associate Professor of Biostatistics (Biostatistics)

    Joshua Warren is an associate professor in the Department of Biostatistics at the Yale School of Public Health. He received his Ph.D. in statistics from North Carolina State University in 2011. Dr. Warren’s research focuses on statistical methods in public health with an emphasis on environmental health problems. Much of his work involves introducing spatial and spatiotemporal models in the Bayesian setting to learn more about associations between environmental exposures, such as air pollution, and various health outcomes including preterm birth, low birth weight, and congenital anomalies. He also has interest in developing and applying spatiotemporal models in collaborative settings such as epidemiology, geography, nutrition, and glaucoma research. His theoretical and methodological interests include multiple topics in spatial/spatiotemporal modeling and Bayesian nonparameterics.

  • Daniel Zelterman

    Professor of Biostatistics

    Research Interests
    Acquired Immunodeficiency Syndrome; Epidemiology; Genetics; Computational Biology; Statistics; Biomarkers, Pharmacological; Biostatistics

    Developed discrete distributions in statistics with applications to clustering of family traits. Plays oboe and bassoon in amateur orchestra groups in the New Haven area.  Enjoys hiking and backpacking.

  • Heping Zhang

    Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science

    Research Interests
    Child Psychiatry; Epidemiology; Infertility; Mental Health; Pregnancy; Psychiatry; Computational Biology; Statistics; Genomics; Biostatistics

    Dr. Zhang published over 300 research articles and monographs in theory and applications of statistical methods and in several areas of biomedical research including epidemiology, genetics, child and women health, mental health, substance use, and reproductive medicine. He directed a training program in mental health research that was funded by the NIMH. He directs the Collaborative Center for Statistics in Science that coordinates the Reproductive Medicine Network to evaluate treatment effectiveness for infertility. He is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics. He was named the 2008 Myrto Lefokopoulou distinguished lecturer by Harvard School of Public Health and a Medallion Lecturer by the Institute of Mathematical Statistics. In 2011, he received the Royan International Award on Reproductive Health. Dr. Zhang serves as an Editor of the Journal of the American Statistical Association and the president of the International Chinese Statistical Association.

  • Yize Zhao

    Assistant Professor of Biostatistics (Biostatistics)

    Research Interests
    Mental Health; Biomedical Research; Neuroimaging

    Dr. Zhao is an Assistant Professor in the Department of Biostatistics at Yale School of Public Health and affiliated with Yale Center for Analytical Sciences. Her main research focuses on the development of statistical and machine learning methods to analyze large-scale complex data (imaging, -omics, EHRs), Bayesian methods, feature selection, predictive modeling, data integration, missing data and network analysis. She has strong interests in biomedical research areas including mental health, cancer and cardiovascular diseases, etc. Dr. Zhao received her Ph.D. in Biostatistics from Emory University and postdoc training in Statistical and Applied Mathematical Sciences Institute (SAMSI) and University of North Carolina at Chapel Hill. Prior to coming to Yale, she was an Assistant Professor in Biostatistics at Cornell University, Weill Cornell Medicine.

  • Xin Zhou

    Assistant Professor of Biostatistics

    Dr. Zhou is an assistant professor in the Department of Biostatistics at the Yale School of Public Health. He received his Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill in 2015. Prior to arriving at Yale, Dr. Zhou was a Postdoc Fellow in the Departments of Biostatistics and Epidemiology at Harvard T.H. Chan School of Public Health. His research is focused on statistical and machine learning methods in precision medicine, measurement error correction, cluster randomized trials, and high dimensional data analysis.


Research Scientists

  • Russell Barbour

    Associate Research Scientist in Biostatistics; Associate Director for Research Methods and Analysis, Center for Interdisciplinary Research on AIDS; Lecturer for Statistics and Data Science; Associate Director for Research Methods and Analysis, Center for Interdisciplinary Research on AIDS

    Research Interests
    Statistics as Topic; Diseases
    My academic training is in human ecology, so I take an ecological perspective to my work in epidemiological statistics. Of special interest is data that is correlated by space, social networks or other factors. Missing data and other lacunae in data sets has become my specialty
  • Eugenia Buta

    Associate Research Scientist in Biostatistics

    Research Interests
    Statistics; Biostatistics

    Eugenia Buta is an Associate Research Scientist in Biostatistics working with the Yale Center for Analytical Sciences. She received her Ph.D. in Statistics from University of Florida before joining Yale. In her role as a statistician, she collaborates with clinical investigators from Yale and VA Connecticut on a wide range of biomedical and public health research projects, such as studying pain and pain care in veterans using data from electronic health records and randomized clinical trials, measuring patient experience with health care using survey research methods, and developing methods for analyzing longitudinal substance use data. 

  • Lisa Calvocoressi

    Research Scientist

    Research Interests
    Mammography; Meningioma; Obsessive-Compulsive Disorder

    Dr. Calvocoressi’s primary research interests are in cancer epidemiology and prevention. Past projects include participation in a multisite study that examined the impact of genetic and environmental factors on the development of meningiomas, and investigation of factors influencing mammography screening in diverse populations. Dr. Calvocoressi is currently collaborating with the Clinical Epidemiology Research Center at the Veterans Affairs Connecticut Healthcare System where her work focuses on prostate cancer.

    Dr. Calvocoressi is also the primary developer of the Family Accommodation Scale, an interviewer-rated instrument used worldwide in research and clinical practice to assess the behaviors of family members of patients with obsessive compulsive disorder. She and her colleagues have also developed a self-rated version of the instrument (FAS-SR) and a patient-rated version (FAS-PV).

  • Feng Dai

    Research Scientist in Biostatistics

    Research Interests
    Anesthesia and Analgesia; Cardiovascular Diseases; Pain; Meta-Analysis

    My research is focused on development and application of novel statistical methods in genetic epidemiology, anesthesiology, patient-centered outcomes research and public health. My collaborative work focuses on patient safety, resident and fellow education, patient-centered outcomes research projects using large-scale national electronic databases such as the Department of Veterans Affairs Corporate Data warehouse, and the Multicenter Perioperative Outcomes Group database.

  • Erich J Greene

    Associate Research Scientist in Biostatistics

    Research Interests
    Mathematical Computing; Models, Statistical; Statistics; Biostatistics

    Erich Greene is a biostatistician and statistical programmer at the Yale Center for Analytical Sciences (YCAS). Prior to joining YCAS, he spent more than a decade as the primary fMRI data analyst and programmer at the Yale Memory and Cognition Laboratory. He holds a master's in physics from Cornell, a doctorate in psychology from Princeton, and a fondness for the serial comma.

  • Ralitza Gueorguieva

    Senior Research Scientist in Biostatistics; Director of Biostatistics in Psychiatry

    Research Interests
    Psychiatry; Research Design; Models, Statistical; Risk Assessment

    Dr. Gueorguieva obtained her Ph.D. in Statistics from University of Florida in 1999 and has been a faculty member of the Department of Biostatistics at Yale University School of Public Health since 2000. Her research interests are in methodological development of models for longitudinal data and outcomes of different types, assessment of risk and the application of innovative statistical approaches for clinical trials data. She has developed statistical techniques for simultaneous analysis of repeatedly measured categorical and continuous outcomes, risk assessment screening algorithms, models for joint analysis of longitudinal and survival outcomes, and has applied trajectory-based approaches and recursive partitioning methods to the assessment of treatment effects. Dr. Gueorguieva is collaborating extensively with psychiatric researchers on clinical trials and observational studies in alcoholism, substance abuse, depression and anxiety disorders, women's behavioral health, schizophrenia, bipolar disorder, obsessive-compulsive disorder and posttraumatic stress disorder. She advocates the use of modern statistical methods such as mixed and mixture models, tree-based methods and nonparametric alternatives to address the complexity of psychiatric data.

  • Raul U. Hernandez-Ramirez

    Associate Research Scientist in Biostatistics (Center for Methods in Implementation and Prevention Science)

    Research Interests
    Clinical Trials as Topic; Environmental Health; Epidemiology; HIV; Neoplasms; Global Health; Nutritional Sciences; Translational Medical Research

    Raul U. Hernandez-Ramirez is an Associate Research Scientist in Biostatistics at the Center for Methods in Implementation and Prevention Science. His current research focuses on developing and applying statistical methods for the design and evaluation of large HIV prevention interventions, and to account for exposure uncertainty in environmental health studies. He completed a PhD in Public Health (Chronic Disease Epidemiology) at Yale, and conducted part of his doctoral dissertation research as a predoctoral visiting fellow at the National Cancer Institute (NCI). His previous research at Yale and the NCI focused on studying cancer risk in people living with HIV in the US and Canada. Before coming to Yale, he gained substantial research experience in nutrition, environment health, and cancer at the National Institute of Public Health of Mexico. He previously obtained a MSc in Epidemiology and a BSc in Nutrition.

  • Hao Huang

    Research Scientist in Biostatistics

    Dr. Huang is a Research Scientist at Yale School of Public Health. His early studies were focused on the field of basic research, with study interests including the mechanism of neuronal death after ischemia, glia cell functions in the brain, neuronal circuit, mechanisms, and regulation of sleeping and food intake. Since 2009, his study interests have been changed to clinical studies and public health. As one of the core members in the Collaborative Center of Statistics in Science at Yale, Dr. Huang have been actively involved in several important clinical trials, including the Pregnancy in Polycystic Ovary Syndrome II (PPCOS II) study, the Assessment of multiple intrauterine gestations from ovarian stimulation (AMIGOS) study, and the Effects of Physiologic Oxygen Tension on Clinical In Vitro Fertilization Outcomes (PhOx) study. As a data director and lead statistician, Dr. Huang played important roles in the study design, data monitoring, data management, statistical analysis and manuscript publications. Currently, Dr. Huang is actively involved in the running 3 clinical trials and two observational studies. He also helps supervise the secondary and ancillary publications within the network. 

  • Yong Kong

    Research Scientist in Biostatistics; Associate Director, Bioinformatics Resource at W.M. Keck Foundation Biotechnology Laboratory

    Research Interests
    Information Science; Mathematical Computing
  • Tassos Constantino Kyriakides

    Associate Research Scientist in Biostatistics; Biostatistician; Director, Cooperative Studies Program Coordinating Center (West Haven, CT), Department of Veterans Affairs; Director, Cooperative Studies Program Coordinating Center (West Haven, CT), Department of Veterans Affairs

    Research Interests
    Clinical Trials as Topic; Epidemiologic Methods; Statistics as Topic; Multicenter Studies as Topic; Epidemiologic Research Design; Survival Analysis; Randomized Controlled Trials as Topic; Controlled Clinical Trials as Topic

    Dr. Kyriakides collaborates with clinical researchers on numerous research projects and he provides statistical consulting on numerous research protocols. He has been an abstract mentor for young researchers at the International AIDS Conferences since 2012, leads the VACSPCC internship program and is a statistical reviewer for high-impact medical journals (Lancet Infectious Diseases and the Lancet Gastroenterology & Hepatology).

    He is the Director at the Department of Veterans' Affairs Cooperative Studies Program (VACSPCC-West Haven) and has worked, as a Senior Biostatistician, on pivotal clinical trials (The OPTIMA Trial, a multi-national HIV/AIDS treatment clinical trial; a surgical clinical trial (The OVER Trial); and a PTSD clinical trial (The VIP-STAR Trial).

    Even though his primary research focus is in the area of infectious diseases with particular emphasis on HIV/AIDS and its treatment, he has an interest in the history of medicine, social determinants of health and the socio-cultural dimension of the benefits of Greek/Mediterranean nutrition. He has recently been certified as an Olive Oil Sommelier by the International Culinary Center and the Olive Oil Education Lab in NY City.

  • Han-Zhu Qian

    Research Scientist in Biostatistics (Biostatistics)

    Research Interests
    Circumcision, Male; Epidemiologic Methods; Epidemiology; Hepatitis C; HIV; Sexually Transmitted Diseases; Clinical Trial; Harm Reduction; Social Stigma; Social Media; Social Discrimination; Mobile Applications; Pre-Exposure Prophylaxis

    Dr. Han-Zhu Qian is an infectious disease epidemiologist. Prior to joining the Yale School of Public Health faculty in 2017, he was a health scientist at U.S. Centers for Diseases Control and Prevention (2016-2017), where he provided technical supports for the HIV treatment programs among key populations in Asian countries. He also served as a faculty member in Vanderbilt University (2007-2016) and University of Alabama at Birmingham (UAB) (2005-2007). He conducts epidemiological studies and prevention intervention clinical trials on HIV, HCV, HPV and other blood-borne and sexually transmitted infections among key and vulnerable populations in U.S. and global settings.

  • Zheng Wang

    Associate Research Scientist in Biostatistics

    Zheng Wang is Research Scientist at the Department of Biostatistics, Yale School of Public Health, Yale University. After completing a PhD at the Clark University in 2006, he held a post-doctoral fellowship at the University of Iowa. He joined Yale University in 2007, and held a post-doctoral association position at the Ecology and Evolutionary Biology Department. He is an expert on fungal taxonomy, especially classification and taxonomy of the Leotiomycetes, Pezizomycetes, Geoglossomycetes, and wood decay polypores. He is also one of the leading authors in the Assembling the Fungal Tree of Life project. His research is in the field of fungal systematics, fungal evolutionary biology, and fungal genetics and genomics, using field and laboratory experiments with model species and comparative genomics/transcriptomics to understand the effects of natural selection and evolution and development of sexual/asexual reproduction in fungi. In particular, it focuses on the how fungi respond to environmental factors during different stages of their life history. He has served as a reviewer for 34 scientific journals, including all major mycological journals. He has held several editorial appointments, including associate editor of Mycosystema and Mycology, review editor of Frontiers in Ecology and Evolution.

Secondary

  • Heather Allore

    Professor; Director, Yale Program on Aging Biostatistics Core; Director, Data Management and Statistics Core, Yale Alzheimer's Disease Research Center; Co-director of the Biostatistics and Bioinformatics Core of the Yale Transdisciplinary Collaborative Center for Precision Medicine focused on Health Disparities; Adjunct Professor, Harldsplass Deaconess Hospital, University of Bergen, Norway

    Research Interests
    Aging; Geriatrics; Statistics as Topic; Frail Elderly; Mathematical Concepts; Biostatistics
  • Associate Professor Tenure of Political Science and in the Institute for Social and Policy Studies and of Public Health (Biostatistics)

  • Cynthia Brandt

    Professor of Emergency Medicine and of Anesthesiology

    Research Interests
    Health Services; Medical Informatics; Medical Informatics Applications; Preventive Medicine; Public Health; Public Health Informatics; Informatics
  • Jen-hwa Chu

    Assistant Professor

    Research Interests
    Data Interpretation, Statistical; Lung Diseases; Models, Statistical; Biostatistics; Data Mining
  • James Dziura

    Professor of Emergency Medicine; Deputy Director, Yale Center for Analytical Sciences; Deputy Director, Yale Data Coordinating Center

    Research Interests
    Clinical Trials as Topic; Data Collection; Diabetes Mellitus; Emergency Medicine; Epidemiology; Nutritional and Metabolic Diseases; Obesity; Statistics as Topic
  • Xiting Yan

    Assistant Professor of Medicine (Pulmonary)

    Research Interests
    Genetics; Lung Diseases; Respiratory Hypersensitivity; Computational Biology; Genomics; Biostatistics; Molecular Medicine

Voluntary & Adjunct

  • Adjunct Professor of Biostatistics, Yale University; Senior Vice President, Data Science and Systems, Nektar Therapeutics

    Mingxiu Hu is currently Senior Vice President at Nektar Therapeutics responsible for Data Science and Systems. Before joining Nektar, Dr. Hu was a Vice President, Global Head of Biometrics, at Takeda Pharmaceuticals. Prior to Takeda, he spent seven years at Pfizer. He is an Adjunct Professor of Biostatistics at Yale University and a Fellow of the American Statistical Association (ASA), and served on the Board of Directors, Executive Committee, and Fellow Selection Committee for ASA. He is a leader in innovative clinical trial designs and had featured in PharmaVoice magazine multiple times on this topic. His research interest focuses on statistical methodologies and applications in drug development, including clinical trial designs and analysis methodologies, development decision making, and biomarker strategies. He has published over 20 scientific articles, edited one book, and co-authored another.

    Dr. Hu received his Ph.D in Statistics from George Washington University, M.S. in Statistics from Beijing University, and M.A. in Biology from Brown University.   

  • Michael Wininger

    Academic Services Provider

    Michael Wininger is an Assistant Clinical Professor at the Yale School of Public Health, Department of Biostatistics. He maintains co-appointments at the Department of Veterans Affairs Cooperative Studies Program (Statistician of Medicine) and University of Hartford (Associate Professor). Dr. Wininger's areas of focus are in device data stream analysis, applied algorithmics, clinical trial design and operation.

  • Zhangsheng Yu

    Dr. Yu’s research interests include clinical statistics methods and the collaborative research in health science. He has developed advanced survival methodologies for disease risk analysis. His current research focus on panel count model, cure rate model, and regression models incorporating image using deep neural network. He collaborates with medical investigators in the areas of liver, kidney diseases, anesthesiology etc. He serves as the associate editor or editorial board member of multiple journals (e.g. Statistics in Medicine, Heart Rhythm, Journal of Digestive Disease). He served as the president of the Central Indiana Chapter of American Statistical Association and currently serves as the vice-president of Clinical Statistics Chapter of World Congress of Chinese Medicine. 

Lecturers

  • Lecturer in Biostatistics

    Claude Petit received her Masters’ degree (1993) from one of France’s leading institutions of higher learning in statistics and economics. She earned her Phd, concurrent with a medical degree in 1999 in the field of Biostatistics from the University of Kremlin Bicêtre (France) where she studied under Prof. Jean Maccario, employing Bayesian methods as applied to clinical trials, specifically involving the study and treatment of schizophrenia.

    She served as Adjunct Professor in Mathematics & Statistics at the University of Grenoble (1999), Medical University of Paris (2004), and at Ecole Nationale de la Statistique et d’Administration Informatique (ENSAI), until her arrival in the US in 2007. She has been a lecturer at the Yale School of Public Health since July 2012.

    Extensively published, Dr. Petit served for many years as Secretary of Biopharmaceutical and Health group in SFdS responsible for the relationships with The French Agency for Sanitary & Safety of Health Products (AFSSAPS). Moreover she has been the Treasurer of the Organizing Committees of the 5th international meeting of SFdS and chaired the Organizing Committee of the 6th international meeting of SFdS (Paris, sept 2009).

    She is also a member of several statistical associations as PSI and DIA and thanks to her extensive work as a project statistician in oncology has been accepted as an ASCO member. Her area of interest is the use of Bayesian methods in phase IIb/III trials.

    Working in the field of statistics since 1994, Dr. Petit has worked at Sanofi-Aventis (formerly Rhone Poulenc Rorer); ESCLI (CRO); Laboratoires Servier; as well as Vice Head of Biometric at Lincoln (CRO). She joined Boehringer Ingelheim, France as a Biostatistics and Programming Support Head in 2004. She currently serves as Executive Director of Biostatistics with Boehringer Ingelheim, US. With about 35 people reporting to her, her team focusses on respiratory, cardiovascular, oncology, CNS and virology drug. She has been involved in several submissions in Europe and in the US, interacting with the FDA through NDA meetings, Advisory Committees and sponsor audits. She also plays key roles in developing and evaluating long term strategies for the biometrics and data management (BDM) organization including authoring of guidelines and concept papers for efficient BDM processes, training international teams in Americas and China, planning for project statistical analysis plan.