Summary
Dibya Ghosh is a research-focused machine learning scientist and PhD graduate from UC Berkeley with 13 years of experience across industry and academia, currently on the pretraining team at Anthropic and a student researcher at Physical Intelligence. He combines deep expertise in robotic and physical intelligence research—mentored by Sergey Levine—with prior experience at Google Brain Montréal, bridging foundational ML research and large-scale model pretraining. Based in the San Francisco Bay Area, Dibya keeps an active academic footprint via Google Scholar and a personal site for up-to-date work, while his LinkedIn is intentionally less current. Known for pragmatic experimentation, he moves smoothly between theory and applied systems, often integrating insights from embodied AI into pretraining strategies. Colleagues appreciate his clear communication (his name is pronounced "Dibbo") and his habit of keeping research artifacts accessible online.
13 years of coding experience
Bachelor's Degree, Bachelor's Degree at University of California, Berkeley
High School, High School at California High School