About
Jonathan Frankle is a fourth-year PhD student at MIT (with Prof. Michael Carbin), where he studies empirical deep learning with the hope of improving our understanding of neural networks and making training more efficient. His dissertation explores the "Lottery Ticket Hypothesis" (for which he received a "Best Paper" award at ICLR 2019) and its implications. He has spent summers at Google Brain and FAIR, and he expects to be seeking full-time employment in the near future. Jonathan is also deeply involved in technology and AI policy: he advises policymakers, lawyers, journalists, and advocates on topics of contemporary relevance and has created a "Programming for Lawyers" course that he teaches at Georgetown Law.
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- Location
- Cambridge, US
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