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Jin Jin

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I am an Assistant Professor of Biostatistics at the University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics. I worked as a postdoctoral fellow in Dr. Nilanjan Chatterjee’s group at the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health in 2019 - 2023. I received my Ph.D. in Biostatistics from the University of Minnesota, Twin Cities under the supervision of Drs. Joeseph S. Koopmeiners and Lin Zhang. Before that I received my Bachelor’s degree in statistics from the School of the Gifted Young, University of Science and Technology of China (USTC).

My research interests focus on developing statistical and computational methods to address cutting-edge problems in public health and medicine by integrating large-scale, multi-source datasets. Within this scope, my research involves health equity in disease risk prediction, statistical genetics, Bayesian hierarchical models for high-dimensional, complex-structured data, and statistical data integration.

In February 2022, I received an NIH Pathway to Independence Award (K99/R00) from the National Human Genome Research Institute (NHGRI) as a Principal Investigator for multi-ethnic disease risk prediction integrating multi-source information on genetic and other risk factors.
 

Contact

Department of Biostatistics, Epidemiology and Bioinformatics
University of Pennsylvania, Perelman School of Medicine
203 Blockley Hall
423 Guardian Drive, Philadelphia, PA 19104
Email: Jin.Jin@Pennmedicine.upenn.edu

 

news

Apr 15, 2024 Our paper on PROSPER, a penalized regression-based method for developing ancestry-specific polygenic risk scores, is now available on Nature Communications.
Apr 10, 2024 Our paper on MUSSEL, a method for developing enhanced ancestry-specific polygenic risk score, is now available on Cell Genomics.
Mar 15, 2024 Our paper on MRLE: Mendelian randomization analysis using multiple biomarkers of an underlying common exposure, was published in Biostatistics.
Jan 26, 2024 Our preprint on PRS-Bridge, a robust Bayesian method for building polygenic risk scores (PRS) using projected GWAS summary statistics and bridge prior, is now available on arXiv.
Nov 3, 2021 Our paper on graph-informed tests for differentially expressed gene pathways was accepted in Bioinformatics.
Oct 18, 2021 Co-authored paper on trans-ethnic kidney function PRS and their associations with circulating proteome and incident kidney diseases was selected as the “Best of ASN Journals” in 2021.
Oct 15, 2021 Our paper on mpMRI-based Bayesian spatial models for voxel-wise prostate cancer classification was accepted in Statistics in Medicine.
Jul 7, 2021 Co-authored paper on genetic propensity for risky behavior and depression and risk of lifetime suicide attempt among urban African Americans was out in J. Med. Genet.