Milind Jagota
Postdoctoral Scientist at Columbia University Irving Medical Center
New York, New York, United States
Summary
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Senior🎓
Top SchoolMilind Jagota is a computational biologist and machine learning researcher with a decade of experience translating complex biological questions into data-driven models. Currently a Postdoctoral Scientist at Columbia University Irving Medical Center after completing a PhD in Computer Science at UC Berkeley, he has a strong track record of interdisciplinary research spanning Stanford and Berkeley labs. His work blends deep learning, statistical modeling, and computational experiments—evidenced by peer-reviewed publications on Google Scholar—while also gaining industry experience at firms like Bridgewater and Uncountable. Comfortable moving between academic rigor and product-minded internships, he brings practical engineering instincts to hypothesis-driven science. Based in New York, he combines rigorous electrical engineering training from Stanford with modern ML methods to tackle challenging problems in computational biology.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, BerkeleyJoint BS/MS Electrical Engineering, Joint BS/MS Electrical Engineering at Stanford University
German, English
Github Skills (19)
folding9
convex9
optimization8
convex-optimization8
numerical-optimization8
bioinformatics8
mathematical-optimization7
modeling7
python7
protein-structure7
embedded6
cvxpy6
matching3
machine-learning1
materials-informatics1
Programming languages (2)
Github contributions (5)
songlab-cal/contact-geometry
Jul 2021 - Oct 2021
Contributions:24 commits, 3 pushes in 3 months
ejones313/clip_search
Feb 2018 - Mar 2018
Contributions:2 PRs, 38 pushes, 2 branches in 23 days
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