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@mail.med.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@mail.med.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@mail.med.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@mail.med.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@mail.med.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@mail.med.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@mail.med.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@mail.med.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@mail.med.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.