Biostatistics PhD Student Profiles

This optional list does not include all of our PhD students.


NPMadeline Abbott, BA, MS
My research interests include survival analysis and longitudinal data analysis, with applications to cancer.


Zhao BangyaoZhao Bangyao, BS, MS
Bayesian Statistics


Andy BeckAndy Beck, BS, MS
The use of population genetic data to understand the biological mechanisms underlying disease risk and heritability


rupam bhattacharyyaRupam Bhattacharyya, BS, MS
Data Integration, Precision Medicine, Clinical Oncology, Infectious Diseases, Bayesian Inference & Machine Learning, Epidemiological Models


Jonathan Boss, BS, MSJonathan Boss, BS, MS 
Continuous shrinkage priors, multi-pollutant modeling, high-dimensional mediation analysis, data integration. Applied collaborations in environmental statistics ranging from amyotrophic lateral sclerosis, birth outcomes, and racial differences in telomere length.


chen irenaIrena Chen, B.A.
Joint estimation of longitudinal trajectories and cross-sectional outcomes with an application in women's health. Latent variable estimation in the presence of measurement error, with applications in verbal autopsy and wildlife trafficking.


Elizabeth ChaseElizabeth Chase, BSP.H., MS
Bayesian shrinkage methods for semiparametric modeling. Applied collaborations in prostate cancer and the Flint water crisis


NPTheresa Devasia, BS, MS
Cancer Research, Survival Analysis and Clinical Trials


NPJiacong Du, BA, BS, MS


NPAllison Furgal, BS, MS, M.A. 
Joint models for longitudinal and competing risks survival data, multivariate survival models, copula models


Boran GaoBoran Gao, MBBS, MPH, MS
Statistical Genetics with interest in variance component analysis using summary statistics


NPSarah Hanks, B.A. 
Development and application of statistical methods for the analysis of human genetic and genomic data.


NPNicholas Hartman, BS 
Survival Analysis, Population Health Data


Mengtong HuMengtong Hu, BS
Precision Medicine, Health Data Science, Causal Inference


NPAbhay Hukku, BS, MS
Development of statistical methodology to address problems in human genetics. Currently working on new methods for conducting gene-set based analyses


Kim HochstedlerKim Hochstedler, BS, MS
Clinical trials, survival analysis, cancer, mental illness


NPZheng Li, MS
Statistical genetics, spatial transcriptomics analysis, mWAS


Astro MaAstro Tianwen Ma, BS, MS
Bayesian Methodology, Gaussian Processes, Brain-computer Interface


NPYing Ma, B.M., MS 
Statistical Genetics, Single cell data analysis


okamotoJeff Okamoto, MS
Single nuclei RNA-seq and ATAC-seq data analysis


pedro orozcoPedro Orozco del Pino, BS, MS
I study the transferability of European ancestry based polygenetic risk scores to other ancestries.
 


NPNathaniel Putnam, BS, MS
Mobile health, spatial statistics, survival analysis


Emily RobertsEmily Roberts, B.A., MS 
Causal inference including surrogate endpoint validation for clinical trials and applications in oncology


Stephen SalernoStephen Salerno, BS, MS 
Statistical methodology and its applications to clinical quality measure development, health policy, and global public health.


Fatema Shafie KhorassaniFatema Shafie Khorassani, BS, MPH, MS
Causal inference, data integration, electronic health records, and missing data. Survival and longitudinal data methods in applications related to stroke, health disparities, tobacco use, and cancer. 


NPLulu Shang, BS, MS
Genetics


Yuming SunYuming Sun, B. Med, MS
Machine learning, Statistical Computing, Semiparametric Model, Survival Analysis


NPNicole Wakim, BS, MS
Clinical trials, Alzheimer's research


NPWenjia Wang, BS, MS
Semiparametric and Joint Modeling of Survival in Cancer Screening Problems


NPJosh Weinstock, B.A., MS
WGS variant calling; Mendelian Randomization; clonal hematopoiesis


NPAndrew Whiteman, BS, MS
Biostatistics; imaging statistics, computational methods


NPJung Yeon Won, BBS, MS
Measurement error models, Data integration, Latent variable model, Built-environment data


wuWenbo Wu, B.A., M.A.
High-dimensional statistics, machine learning and optimization


NPJingyue Xi, BS, MS
Statistical Genetics and Single Cell Analysis


Chang XuChang Xu, BS, MS
Statistical Genetics


Yuliang XuYuliang Xu, MMath, BS


NPPranav Yajnik, BS, MS
Genetic Epidemiology, GWAS


guangyu yangGuangyu Yang, BS, MS
Semiparametric Model; Change-Point Detection


NPTsung-Hung Yao
Non-parametric Bayesian Statistics and Bayesian Network Methodology.


hengshi yu Hengshi Yu, BS, MS
Causal inference and statistical learning. Strong interest in the interplay between stochastic modeling and semi-parametric statistics


Ketian YuKetian Yu, BS, M.S.
Genotype Imputation, Gene Expression Imputation and Meta-Analyses


NPYoufei Yu, B.A., MS
Causal inference approach for censored data and data with multiple treatments.


yqzhaiYuqi Zhai, BS, MS
Design and analysis of sample surveys, Bayesian inference and spatial statistics.



zhang daiweiDaiwei (David) Zhang, BS, MS
Machine learning, statistical computing, statistical genetics, Bayesian methods


zyuhuaYuhua Zhang, MS
Network modeling, Statistical genetics
 


NPZhangchen Zhao, BS, M.S.
Gene-based tests and efficient resampling methods


NPJiaqiang Zhu, BS, MS
Statistical Genetics, Differential Gene Expression Analysis, Differential Methylation Analysis


NPYongwen Zhuang, BS, M.S.
Statistical methods in genetics, computational statistics, machine learning