Alex Hernandez-Garcia
Core Academic Member
Assistant Professor, Université de Montréal
Research Topics
Active Learning
AI and Sustainability
AI for Science
Blackbox Optimization
Climate
Climate Variable Downscaling
Computational Biology
Deep Learning
Drug Discovery
Generative Models
GFlowNets
Molecular Modeling
Probabilistic Models
Representation Learning
Biography
Alex Hernandez-Garcia is an assistant professor at the Université de Montréal, a core academic member at Mila, IVADO professor and member of the Institut Courtois. His machine learning research is motivated by scientific applications to tackle the climate crisis and other societal challenges. In particular, a current focus of his work is active and generative machine learning to facilitate scientific discoveries, such as new materials and antibiotics. He also advocates for a critical examination of the impacts of artificial intelligence, is a strong proponent of open science and is active in initiatives about making science more inclusive, equitable, open, reproducible, transparent and environmentally conscious.