Embracing Empiricism - From the Lottery Hypothesis to Creating Real-World Impact: An Interview with Jonathan Frankle

Jonathan Frankle is Chief AI Scientist at Databricks, where he leads projects on the AI research team to bring the latest advances in artificial intelligence and reinforcement learning to Databricks' tens of thousands of enterprise customers. He arrived via Databricks' $1.3B acquisition of MosaicML, which he co-founded as Chief Scientist. 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 Best Paper, ACM SIGAI Dissertation Award, MIT Dissertation Award). He earned his BSE and MSE in computer science at Princeton.