Biostatistics Postdocs

Ray Bai, PhD E-Mail: Ray.Bai@pennmedicine.upenn.edu Education: PhD in Statistics, University of Florida, 2018 Faculty/Mentor: Yong Cheng and Mary Boland Working on semiparametric/nonparametric methods and scalable inference algorithms, with applications to electronic health records (EHRs).	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.
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.	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.
Siliang Gong, PhD E-Mail: Siliang.Gong@pennmedicine.upenn.edu Education: Ph.D. in Statistics, UNC Chapel Hill in May, 2018 Faculty/Mentor: Qi Long Current research interests are focused on high-dimensional problems including variable selection, graphical modeling, etc. Also interested in statistical genetics, especially data integration.	Kyunghee Han, PhD E-Mail: khhan@pennmedicine.upenn.edu Education: PhD in Statistics, Seoul National University, 2017 Faculty/Mentor: Pamela Shaw, PhD Kyunghee's research interests include non/semi-parametric function estimation, errors-in-variables problem, deconvolution method, functional data analysis and nonparametric structured modeling related to additive models. Research Page: https://sites.google.com/site/kyungheehanstat/
Lifang He, PhD E-Mail: lifang.he@pennmedicine.upenn.edu Education: PhD in Computer Science, South China University of Technology, 2014. Faculty/Mentor: Yong Chen Lifang’s research interests include data mining, machine learning, tensor analysis, and bioinformatics. She focuses on developing advanced computational and statistical methods to analyze various kinds of data, and with applications to medical and social sciences. Please check my Google Scholar for more. Research Page: https://scholar.google.com/citations?hl=en&user=obgTcyoAAAAJ&view_op=lis...	Sai Li, PhD E-Mail: sai.li@pennmedicine.upenn.edu Education: PhD in Statistics. Rutgers University, 2018 Faculty/Mentor: Hongzhe Li Sai's research interests include statistical methods for high-dimensional inference and causal inference with application to genomic data.
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.	Chongliang Luo, PhD E-Mail: chongliang.luo@pennmedicine.upenn.edu Education: PhD in Statistics at University of Connecticut Faculty/Mentor: Yong Chen Working on healthcare data (EHR, genetics, pharmacovigilance, etc) analysis and meta analyses. Interested in developing novel methodologies for dimension reduction/variable selection, statistical inference, distributed learning and predictive models.
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.
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.
Shulei Wang, PhD E-Mail: Shulei.Wang@pennmedicine.upenn.edu Education: PhD in Statistics, University of Wisconsin-Madison, 2018 Faculty/Mentor: Hongzhe Li and Tony Cai Shulei is broadly interested in developing novel statistical methods and computational tools with solid theoretical foundation for analysis of biomedical data, including metagenomic and microscopy imaging data. Research Page: https://sites.google.com/view/shulei-wang/	Fei Xue, PhD E-Mail: Fei.Xue@pennmedicine.upenn.edu Education: PhD in Statistics, University of Illinois at Urbana-Champaign, 2019 Faculty/Mentor: Hongzhe Li Fei is interested in developing novel statistical methods for high dimensional data, missing data, survival data, and mediation analysis. Fei is also interested in statistical genetics and data integration.
Panpan Zhang, PhD E-Mail: panpan.zhang@pennmedicine.upenn.edu Education: Ph.D. in Statistics, The George Washington University Faculty/Mentor: Sharon Xie Develop novel statistical methods for assessing dementia risks of neurodegenerative and related diseases.