Scholar
Jonathan Frankle
Google Scholar ID: MlLJapIAAAAJ
Databricks
Citations & Impact
Citations
11,863
H-index
28
i10-index
39
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Proposed the Lottery Ticket Hypothesis, revealing new insights into how neural networks can be kept small during training; has published multiple papers, which can be found on Google Scholar.
Research Experience
- Leads the research team at Databricks; was part of the founding team at MosaicML; works with OECD to implement AI Principles; served as the inaugural Staff Technologist at the Center on Privacy and Technology at Georgetown Law, contributing to a landmark report on police use of face recognition and co-developing a course on Computer Programming for Lawyers with Prof. Paul Ohm.
Education
- Completed a PhD in Computer Science at MIT in 2023.
Background
- Chief AI Scientist at Databricks, with research interests in the behavior of neural networks, the scientific understanding of deep learning, and technology policy.
Miscellany
- Lives in New York City and frequently travels to San Francisco and Washington, DC.
