Jonathan Frankle is Chief AI Scientist at Databricks, where he leads the AI research team toward the goal of making it possible for everyone to customize deep learning to meet their needs (from prompting to creating entire models from scratch). He arrived via Databricks’ $1.3B acquisition of MosaicML, where he was part of the founding team. He recently completed his PhD at MIT, during which 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). In addition to his technical work, he is actively involved in policymaking around challenges related to artificial intelligence. He earned his BSE and MSE in computer science at Princeton and 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.