Lab Members

John D. Storey

John is the William R. Harman ‘63 and Mary-Love Harman Professor in Genomics, primarly appointed in the Lewis-Sigler Institute for Integrative Genomics at Princeton University. He has associated faculty appointments in Applied and Computational Mathematics, the Center for Statistics and Machine Learning, Computer Science, Molecular Biology, Operations Research and Financial Engineering, and the Princeton Institute for Computational Science and Engineering (PICSciE). He is the director (with Josh Akey) of the NHGRI Quantitative and Computational Biology Graduate Training Program at Princeton University. For more information, check out a brief biography, his personal website, and his GitHub, Google Scholar, and LinkedIn profiles.

Danfeng Chen

Danfeng is a PhD student in Quantitative and Computational Biology at Princeton University. She received her BS in Biological Sciences from Fudan University and her MS in Computational Biology and Quantitative Genetics from Harvard University.

Danfeng’s research is focused on new theory and methods for heritability in genome-wide association studies, new estimation methods for coancestry in structured populations, and developing surrogate variable analysis for sequencing-based molecular profiling, such as RNA-seq. For more information, check out Danfeng’s GitHub profile.

Olivia Harringmeyer

Olivia is a Lewis-Sigler Scholar at Princeton University working with the Akey and Storey labs. Olivia received her undergraduate degree in mathematics from Williams College. She then received a PhD in evolutionary biology from Harvard University. She studies structural genomic variation, focusing on chromosomal inversions and their role in evolution. For more information, check out her Google Scholar profile.

Yushi Tang

Yushi is a PhD student in Quantitative and Computational Biology at Princeton University. He received his BS from Peking University, double-majoring in Environmental Statistics and Economics, and MS in Computational Biology and Quantitative Genetics from Harvard University.

Yushi is working primarily in two areas. The first is in understanding the role of ancestral population as a conditional variable when performing genome-wide association studies and heritability estimation. The second is developing theory and methods for causal inference in population-based genome-wide genetics studies. For more information, check out his personal website and his GitHub, Google Scholar, and LinkedIn profiles.

Alvin Zhang

Alvin is a PhD student in Quantitative and Computational Biology at Princeton University. He received his BS from University of Chicago, double-majoring in Biology and Statistics.

Alvin is interested in multivariate models of genetic variation in order to imporove our ability to genetically dissect complex traits and form statistically interpretable polygenic risk scores for traits.

Lab Alumni