Devansh Jalota
Postdoctoral Research Scientist at Columbia University
New York, New York, United States
Summary
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Senior🎓
Top SchoolDevansh Jalota is a postdoctoral research scientist based in New York who brings eight years of interdisciplinary experience at the nexus of operations research, computer science, and economics to design algorithms and incentive mechanisms for sustainable, equitable resource allocation—particularly in future mobility systems. Trained with a PhD in Computational and Applied Mathematics from Stanford and dual bachelors in Applied Math and Civil & Environmental Engineering from UC Berkeley, he blends rigorous theory with practical systems work from campus traffic modeling to grid-scale energy optimization. His industry stints at Google and Tesla show he can translate research into impactful products, including auction-tuning insights for ad markets and inventory-rebalancing and anomaly-detection tools for global supply chains. Across academia and industry he has repeatedly turned data-driven models into deployable algorithms, whether for distributed energy resources or managing traffic bottlenecks. Notably, his trajectory weaves environmental sustainability and public-interest engineering into core algorithmic design, reflecting a focus on societally aware technical solutions.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Applied Mathematics, Bachelor of Arts - BA Applied Mathematics at University of California, BerkeleyDoctor of Philosophy - PhD Computational and Applied Mathematics, Doctor of Philosophy - PhD Computational and Applied Mathematics at Stanford University
English, HindiProgramming languages (1)
Github contributions (5)
djalota/devanshjalota
Sep 2020 - Sep 2020
Contributions:29 pushes, 1 branch in 1 day
djalota/OnlineRoutingParallel
Dec 2022 - Dec 2022
Contributions:11 pushes, 1 branch in 1 day
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