Our talks at JSM 2019 [Link]


Robust Bayesian methods to sparse high-dimensional regression

First job: Assistant Professor. Department of Pharmaceutical Health Outcomes and Policy. University of Houston, Houston, TX

Variable selection for longitudinal and irregular high-dimensional data

First job: Quantative Analyst Senior. Freddie Mac, Washington, D.C.

Bayesian regularized quantile mixed models for longitudinal studies

First job: Post-doctoral Associate. University of Texas Southwestern Medical Center 

High-dimensional variable selection in longitudinal and nonlinear gene-environment interaction studies.

Current job: Senior Statistician. AbbVie. NJ 

Penalized variable selection for gene-environment interactions

First job: Data Scientist, IQVIA, Shanghai, China

High-dimensional variable selection for genomics data, from both frequentist and Bayesian perspectives                 

First job: Assistant Professor, Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN