David Rolnick
Scholar

David Rolnick

Google Scholar ID: P_luG3cAAAAJ
McGill University, Mila Quebec AI Institute
Machine LearningClimate ChangeBiodiversityDeep Learning Theory
Citations & Impact
All-time
Citations
8,403
 
H-index
30
 
i10-index
53
 
Publications
20
 
Co-authors
185
list available
Contact
Resume (English only)
Academic Achievements
  • Sloan Research Fellow, AI2050 Fellow, and named to the MIT Technology Review “35 Innovators Under 35” list for work in building the field of machine learning and climate change.
Research Experience
  • Conducts research at the School of Computer Science at McGill University and at Mila – Quebec AI Institute. Serves as Co-founder and Chair of Climate Change AI, Scientific Co-director of Sustainability in the Digital Age, and co-lead of the NSF-NSERC Global Center on AI and Biodiversity Change (ABC).
Education
  • Previously, he was an NSF Mathematical Sciences Postdoctoral Research Fellow at UPenn and an NSF Graduate Research Fellow at MIT.
Background
  • Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila – Quebec AI Institute. His group’s work focuses on innovations in machine learning driven by problems in climate change – encompassing areas such as biodiversity monitoring, land use classification, climate model emulation, and materials discovery. He also serves as Co-founder and Chair of Climate Change AI, Scientific Co-director of Sustainability in the Digital Age, and co-lead of the NSF-NSERC Global Center on AI and Biodiversity Change (ABC).