Yang Song, Ph.D.

I've spent the last decade teaching machines to operate in the physical world — from provably correct multi-robot coordination (IROS, ICRA), to a Y Combinator self-driving shuttle, to radar perception for Motional's robotaxi, to the cloud data platform behind the Lotus Eletre, the second vehicle worldwide certified under UN R171.01, the first harmonized regulation for Level 2 ADAS. Today I work on the layer embodied intelligence is missing: the data, simulation, and AI infrastructure that let robots learn from the real world. Ph.D. in Computer Science (multi-robot systems). Speaker at TechAD Europe 2025. Y Combinator alumni.