Chief Scientist - MosaicML
Jonathan Frankle is Chief Scientist at MosaicML, where he leads the company’s research team toward the goal of developing more efficient algorithms for training neural networks. During his PhD at MIT, 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 Award). He will be joining the faculty of the School of Engineering and Applied Sciences at Harvard in the fall of 2023 as an assistant professor. He earned his BSE and MSE in computer science at Princeton. He has spent time in industry at Google Brain, Facebook AI Research, and Microsoft, and in the policy world at Georgetown Law, where he co-created and co-taught a course on Computer Programming for Lawyers as an Adjunct Professor of Law and worked as the inaugural Staff Technologist at the Center on Privacy and Technology.
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