Michael is a former PhD student from Stanford focusing with a background in computer vision and embodied AI. His fascination with controllable generative media dates back to his early highschool days as a thespian and amateur VFX fan. Now Michael leads a team at the intersection of product and foundation model research, building highly controllable omnimodal models for content creation.