Raj (Rajdeep) Singh is a graduate research assistant in the Robotic Embedded Systems Lab (RESL) at the University of Southern California, where he works on multi-agent reinforcement learning. His broader interests include physics-informed learning and the interpretability and accountability questions he first worked on at the AIEA Lab.

He earned his Bachelor’s at UC Santa Cruz, where he was an undergraduate research assistant in the AIEA Lab, and conducted NSF-funded research on safety for autonomous drone swarms through an REU. He has also worked as a founding engineer and CTO at a Y Combinator-backed startup (W24).

More of his work is at raj-singh.com.