Biostatistics Postdocs

Yuanpei Cao, PhD

E-Mail: yuanpeic@sas.upenn.edu
Education: PhD in Applied Mathematics and Computational Science, University of Pennsylvania, 2016
Faculty/Mentor: Hongzhe Li

Yuanpei is working on high dimensional statistical modeling on compositional data with application to the microbiome. 

Abhishek Chakrabortty, PhD

E-Mail: abhich@upenn.edu
Education: PhD in Biostatistics, Harvard University, 2016
Faculty/Mentor: Hongzhe Li

Abhishek is developing statistical and computational methods for analysis of integrative genomic data and methods for precision medicine with application to various collaborative projects.

Changgee Chang, PhD

E-Mail: changgee@pennmedicine.upenn.edu
Education: PhD in Statistics, University of Chicago, 2012
Faculty/Mentor: Qi Long

Changgee's research area of interest includes the development of Bayesian methodologies for the integrative analysis of high-dimensional multi-omics data, incorporating their structural information when present.

Jean-Philippe Fortin, PhD

E-Mail: jeanphi@pennmedicine.upenn.edu
Education: PhD in Biostatistics, Johns Hopkins Bloomberg School of Public Health, 2016
Faculty/Mentor: Russell (Taki) Shinohara

JP is working on adapting different statistical tools used in genomics to the analysis of magnetic resonance imaging and has recently developed a scan effect removal tool for the normalization of structural magnetic resonance images (MRIs) in the context of Alzheimer’s disease.

Yuan Gao, PhD

Education: PhD in Genetics, University of Chinese Academy of Sciences, 2016
Faculty/Mentor: Hongzhe Li

Yuan recently graduated with a PhD in genetics. His work will focus on developing methods for MetaCyc pathway-based analysis of metagenomics data as well as developing methods for integrative analysis of metagenomics and metabolomics.

Jing Huang, PhD

E-Mail: jing14@pennmedicine.upenn.edu
Education: PhD in Biostatistics, University of Texas School of Public Health, 2016
Faculty/Mentor: Yong Chen

Jing's research interest involves statistical inference under non-regular conditions, development and application of statistical methods for EHR based studies, and statistical methods to detect genetic interactions.

Yulun Liu, PhD

Education: PhD in Biostatistics, University of Texas School of Public Health, 2016
Faculty/Mentor: Yong Chen

Yulun is working on multivariate and network meta-analysis for individual patient-level data. 

Jing Ma, PhD

E-Mail: jinma@mail.med.upenn.edu
Education: PhD in Statistics, University of Michigan, 2015
Faculty/Mentor: Hongzhe Li

Jing is developing statistical methods and computational tools for integrative analysis of multiple genomic data. She is also developing methods for analyzing next generation sequencing data, including shotgun metagenomics data sets.

Eun Jeong Min, PhD

E-Mail: mineunj@pennmedicine.upenn.edu
Education: Ph.D in Statistics, North Carolina State University, 2015
Faculty/Mentor: Qi Long

Eun Jeong’s primary research interest includes the development of integrative statistical analysis methods for multiple omics data and statistical models for high dimensional/multi-dimensional array data.

Preetam Nandy, PhD

E-Mail: nandyp@pennmedicine.upenn.edu
Education: PhD in Statistics, ETH Zurich, 2016
Faculty/Mentor: Hongzhe Li

Preetam is working on high-dimensional graphical models and causal inference.


Research Page:

http://www-stat.wharton.upenn.edu/~nandyp/

Jihwan Oh, PhD

E-Mail: jihwan05@pennmedicine.upenn.edu
Education: PhD in Statistics, Purdue, 2017
Faculty/Mentor: Qi Long & Mingyao Li

Jihwan is interested in developing statistical methods for revealing and exploiting graph structures for high-dimensional data analysis.


Research Page:

https://jihwan05.github.io

Michael Sohn, PhD

E-Mail: msohn@pennmedicine.upenn.edu
Education: PhD in Statistics, University of Arizona, 2015
Faculty/Mentor: Hongzhe Li

Michael's work focuses on the development of statistical methods for high dimensional data, especially on data regarding the microbiome.

Andrew Spieker, PhD

E-Mail: aspieker@pennmedicine.upenn.edu
Education: PhD in Biostatistics, University of Washington, 2016
Faculty/Mentor: Jason Roy

Andrew's primary research experience involves correcting endogeneity bias when estimating biomarker associations in observational data. I also have experience with methodology research involving HIV vaccine efficacy trials and identification of surrogates of protection from infection.

Tianhao Wang, PhD

E-Mail: tianhaow@pennmedicine.upenn.edu
Education: PhD in Statistics, National University of Singapore, 2014
Faculty/Mentor: Wensheng Guo, Sarah Ratcliffe

Tianhao is working with Drs. Guo and Ratcliffe on their R01 focusing on joint modeling and functional data analysis.