Somil Bansal
Assistant Professor at Stanford University
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolSomil Bansal is an assistant professor at Stanford specializing in the intersection of control theory, machine learning, and computer vision for robotics, with a decade of experience spanning academia and industry. Previously faculty at USC and a research scientist at Waymo, he builds data-efficient, safety-focused control algorithms that blend theoretical guarantees with practical autonomy systems. His work bridges rigorous control and modern learning tools to enable reliable robot behavior in uncertain environments, informed by hands-on experience developing ML-driven planning for companies like Skydio. Trained at UC Berkeley (PhD/MS) and IIT Kanpur (BTech), he pairs deep theoretical expertise with applied system development and a track record of translating research into real-world robotic autonomy. An educator and mentor as well as a researcher, he brings systems thinking from early consultancy and performance-engineering roles to large-scale, safety-critical robotics problems.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Sciences, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Sciences at University of California, BerkeleyIndian Institute of Technology Kanpur
Github Skills (2)
sequential1
planning1
Programming languages (3)
Github contributions (5)
smlbansal/smlbansal.github.io
Aug 2021 - Oct 2024
Contributions:16 pushes, 1 branch in 3 years 2 months
smlbansal/sia-lab
Oct 2022 - Nov 2024
Contributions:1 PR, 23 pushes in 2 years 1 month
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