Current PhD Students

(This is an opt-in listing and does not include all students in the department)

Xiaoxuan Cai

photo of  Xiaoxuan Cai

Year started: 2015

E-mail: xiaoxuan.cai@yale.edu

I am currently working on causal inference, especially in network analysis.


Ming Chen

Ming Chen

Year started: 2016

E-mail: ming.chen.mc2792@yale.edu

Boyang Li

Year started: 2017

E-mail: Boyang.Li@yale.edu

Statistical genetics, functional genomics, causal inference

Selected publications:

  • Lu Q, Li B, Ou D, Erlendsdottir M, Powles RL, Jiang T, Hu Y, Chang D, Jin C, Dai W, He Q, Liu Z, Mukherjee S, Crane PK, Zhao H. A Powerful Approach to Estimating Annotation-Stratified Genetic Covariance via GWAS Summary Statistics, The American Journal of Human Genetics 2017;101:939-964. 
  • Li B, Lu Q, Zhao H. An evaluation of noncoding genome annotation tools through enrichment analysis of 15 genome-wide association studies, Briefings in Bioinformatics 2017:bbx131-bbx131.

Mo Li

Mo Li

Year started: 2015

E-mail: mo.li@yale.edu

Xinyue Li

Year started: 2014

E-mail: Xinyue.li@yale.edu

My research interests focus on statistical methods for wearable device data. My dissertation topics include 1) an unsupervised algorithm for sleep/wake detection using actigraphy, and 2) penalized multi-band learning for circadian rhythm analysis. Besides wearable device data, I am also interested in the practices of precision medicine based on electronic health records and genomic data.

Selected publications: 

  • Inference of Genetic Similarity between Tissues from RNA-seq Data (2014)
Website: LinkedIn

Jessica Rothman

Jessica Rothman

Year started: 2017

E-mail: jessica.rothman@yale.edu

I am interested in the mathematical modeling of infectious diseases. Using spatial statistical techniques to incorporate big data such as weather and climate, geographical features like proximity to water, and human travel patterns, I hope to better predict the spread and virulence of disease outbreaks as well as how to best utilize resources to prevent and/or minimize impact. The goals of my research and career are to develop mathematical models that accurately predict infection rates and the spread of diseases so that prevention and treatment efforts can be more focused, effective, and reduce morbidity and mortality.

Selected publications: 

Website: LinkedIn

Kyaw J. Sint

photo of  Kyaw Sint

Year started: 2012

E-mail: kyaw.sint@yale.edu

Latent class mediation analysis and missing data in a multicenter schizophrenia trial

Website: http://ksint.com/

Chang Su

Chang Su

Year started: 2018

E-mail: C.Su@yale.edu

LinkedIn

Jinghao Sun

Jinghao Sun

Year started: 2017

E-mail: jinghao.sun@yale.edu

High-dimensional Statistics, Graphical Models, Networks, Deep Learning

Website: LinkedIn 

Daiwei Tang

photo of Daiwei Tang

Year started: 2015

E-mail: daiwei.tang@yale.edu

Research interest: My research interests include cancer genomics and immuno-genomics methodologies, particularly, how to jointly leverage genomics and immune information to help us better understanding tumor and therapeutic response. I also closely work with YSM community as a statistical consultant. 

Selected publications:

  • Presley, C. J., Tang, D., Soulos, P. R., Chiang, A. C., Longtine, J. A., Adelson, K. B., ... & Agarwala, V. (2018). Association of broad-based genomic sequencing with survival among patients with advanced non–small cell lung cancer in the community oncology setting. JAMA, 320(5), 469-477.
Website: Twitter

Xiaochen Wang

Year started: 2014

E-mail: xiaochen.wang@yale.edu

Research interest: Hidden Markov model, survival analysis, risk prediction, cardiovascular disease

LinkedIn

Shiying Wang

Shiying Wang

Year started: 2018

E-mail: Shiying.Wang

Weimiao Wu

Year started: 2016

E-mail: weimiao.wu@yale.edu

Statistical genetics, statistical modeling, stochastic process 

Selected publications:

  • Wu, W., Feng, S., Wang, Y., Wang, N., Hao, H., & Wu, R. (2014). Systems mapping of genes controlling chemotherapeutic drug efficiency for cancer stem cells. Drug discovery today, 19(8), 1125-1130. 
  • Sui, Y., Wu, W., Wang, Z., Wang, J., Wang, Z., & Wu, R. (2014). A casecontrol design for testing and estimating epigenetic effects on complex diseases. Briefings in bioinformatics, 15(2), 319-326.

Yaqing Xu

Yaqing Xu

Year started: 2016

E-mail: yaqing.xu@yale.edu

Gene–environment interaction

Websitewww.linkedin.com/in/yaqingxu

Huangdi Yi

 photo of Huangdi Yi

Year started: 2016

E-mail: huangdi.yi@yale.edu

Network methodologies for analysis of diseases and large scale genome wide studies.

Website: linkedin.com/in/huangdi-denise-yi-89610665