Research Fellow at Memorial Sloan Kettering Cancer Center
Palo Alto, California, United States
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Summary
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Senior
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Andrew Marderstein is a computational human geneticist and research fellow with a decade of experience translating human genetics and multi-omic data into mechanistic insights and drug discovery leads. Currently at Memorial Sloan Kettering after a postdoc at Stanford and a PhD from Cornell/Weill, he combines statistical genetics, deep learning, and single-cell multi-omics to predict cell-type-specific regulatory effects and uncover chromatin-driven disease mechanisms. His work contributed to a Nature paper linking reshaped chromatin landscapes to clinical features of Down Syndrome and longstanding collaborations with industry (Pfizer, Third Rock Ventures) underline his translational focus. He has repeatedly built and applied novel methods—from vQTLs and GxE to single-cell regulatory models—to prioritize therapeutic targets and predict patient response. Based in Palo Alto, he pairs rigorous computational methods with consortium-scale leadership experience in projects like IGVF, bringing both academic depth and practical impact to precision medicine.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology & Medicine (CBM), Doctor of Philosophy - PhD Computational Biology & Medicine (CBM) at Weill Cornell Graduate School of Medical Sciences
Bachelor of Science (BS) Biostatistics (Statistical Genomics concentration) Biological Sciences Minor, Bachelor of Science (BS) Biostatistics (Statistical Genomics concentration) Biological Sciences Minor at Cornell University
Postdoctoral Fellow - Computational Genomics, Postdoctoral Fellow - Computational Genomics at Stanford University
Contributions:159 commits, 15 pushes in 1 year 2 months
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Andrew Marderstein - Research Fellow at Memorial Sloan Kettering Cancer Center