Matthew L Leavitt
Scholar

Matthew L Leavitt

Google Scholar ID: S3-M5Z8AAAAJ
DatologyAI
Deep LearningArtificial IntelligenceMachine LearningNeuroscience
Citations & Impact
All-time
Citations
4,372
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers, summaries can be found in the publications section of his site.
Research Experience
  • 1. Cofounder and Chief Science Officer at DatologyAI, where he builds an automated data curation platform.
  • 2. Head of Data Research at MosaicML.
  • 3. Spent 1.5 years at FAIR, applying empirical approaches to understand deep learning systems under the supervision of Ari Morcos and Sergey Edunov.
Education
  • PhD in Neuroscience from McGill University, supervised by Julio Martinez-Trujillo.
Background
  • Excited about understanding and explaining synthetic and biological intelligence; Currently Cofounder and Chief Scientist at something new; Former Head of Data Research at MosaicML; AI resident at FAIR.
Miscellany
  • Interested in how complex systems and high-dimensional information can be represented humanely and communicated meaningfully.
Co-authors
0 total
Co-authors: 0 (list not available)