Arjun Mani is a PhD student and graduate research assistant at Columbia University with a decade of experience building machine learning systems that reason about the physical world. Advised by Richard Zemel and Carl Vondrick, his work sits at the intersection of vision, physics-aware reasoning, and vision+language, building on prior research at Princeton on novel VQA tasks and probabilistic methods. He has industry experience applying ML to products at Google and startups, and early research contributions spanning medical imaging and antibody design that were recognized in national competitions and top journals. Based in New York, he combines strong theoretical grounding from Princeton and Columbia with practical pipeline and deployment skills, and maintains a public research portfolio at arjun-mani.github.io.
10 years of coding experience
4 years of employment as a software developer
High School, High School at The Harker School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
BSE Computer Science, BSE Computer Science at Princeton University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.