Summary
Homanga Bharadhwaj is a Research Scientist at Meta Reality Labs with eight years of experience bridging robot learning, reinforcement learning, and large-scale human data. He completed a PhD at Carnegie Mellon focused on "Watch, Predict, Act: Robot Learning meets Web Videos" and has interned at Google, NVIDIA, Preferred Networks, Mila, and NUS, contributing to safe, generalizable, and scalable RL and planning methods. His work ranges from safe model-based RL and automatic ML auditing to sim-to-real planning, emphasizing practical safety and robust exploration in robotic systems. Based in Seattle, he combines deep academic training with industry research experience and a quirky personal affinity for very spicy food, reflecting a taste for bold challenges both in labs and on his plate.
8 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Kanpur
Master's degree, Computer Science, Master's degree, Computer Science at University of Toronto
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University School of Computer Science