Rohit Tripathy
Associate Computational Scientist
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolRohit Tripathy is an Associate Computational Scientist with 11 years of experience applying ML/AI and applied mathematics to biomedical problems, currently advancing multi-modal and multi-omics translation at The Jackson Laboratory. He holds a Ph.D. in Mechanical Engineering from Purdue and built deep learning surrogate models for high-dimensional uncertainty quantification during his graduate work. Rohit’s postdoctoral research at Cold Spring Harbor focused on interpretability of deep learning models in genomics, bridging rigorous theory with domain-relevant insights. His background includes quantitative machine learning roles at JPMorgan and applied sequence modeling for wind forecasting at Argonne, reflecting a habit of transferring methods across domains. Based in the New York City area, he combines academic depth with practical ML engineering to push cross-species biomedical translation, and often brings techniques from engineering uncertainty quantification into biological model interpretability.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Mechanical Engineering, Bachelor of Technology (B.Tech.), Mechanical Engineering at Vellore Institute of TechnologyDoctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at Purdue University
Hindi, Odia, English
Github Skills (3)
uncertainty-quantification9
uncertainty9
quantile3
Programming languages (2)
Github contributions (5)
PredictiveScienceLab/py-aspgp
Oct 2015 - Oct 2016
Contributions:7 commits, 6 pushes, 1 branch in 1 year
rohitkt10/resume_latex
Sep 2016 - Jun 2018
Contributions:2 pushes, 1 branch in 1 year 9 months
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