Jonathan Frankle
Chief AI Scientist, Databricks
Jonathan Frankle is Chief AI Scientist at Databricks, where he leads the AI research team toward the goal of bringing the latest advances in large language models, computer vision, and reinforcement learning to Databricks’ 12,000 enterprise customers. He arrived via Databricks’ $1.3B acquisition of MosaicML, which he co-founded and led as Chief Scientist. In addition to his technical work, he is actively involved in policymaking around challenges related to artificial intelligence. He earned his PhD at MIT, where he empirically studied deep learning with Prof. Michael Carbin, specifically the properties of sparse networks that allow them to train effectively (his “Lottery Ticket Hypothesis” – ICLR 2019 Best Paper). He earned his BSE and MSE in computer science at Princeton. He has previously spent time at Google Brain and Facebook AI Research as an intern and at Georgetown Law as a technologist and Adjunct Professor of Law.
