Assistant Professor at Memorial Sloan Kettering Cancer Center
New York, New York, United States
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Summary
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Kushal Dey is an Assistant Professor and Josie Robertson Investigator at Memorial Sloan Kettering and Weill Cornell with 11 years of experience applying statistics and machine learning to disease genetics and functional genomics. He develops and deploys deep learning, topic-modeling, and single-cell analysis methods for GWAS and genomic studies, combining rigorous statistical training (PhD, University of Chicago) with postdoctoral work at Harvard and the Broad Institute. His work is supported by a K99/R00, NCI developmental funds, and the Josie Robertson Foundation, reflecting early translational impact. Known for bridging method development and biological insight, he has a track record of collaborative projects across top institutions and a background in both consulting and teaching that sharpens his problem-focused approach. An often-overlooked strength is his experience translating complex single-cell analyses into actionable classifiers for disease samples, honed during stints at Fred Hutch and in collaborative labs.
11 years of coding experience
4 years of employment as a software developer
MStat (Masters) and BStat (Undergraduate) Mathematics and Statistics, MStat (Masters) and BStat (Undergraduate) Mathematics and Statistics at Indian Statistical Institute, Kolkata
Doctor of Philosophy (Ph.D.) Statistics BioStatistics, Doctor of Philosophy (Ph.D.) Statistics BioStatistics at University of Chicago
Postdoctoral Researcher Epidemiology and Biostatistics, Postdoctoral Researcher Epidemiology and Biostatistics at Harvard T.H. Chan School of Public Health
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Kushal Dey - Assistant Professor at Memorial Sloan Kettering Cancer Center