Eva Portelance is an incoming Assistant Professor in the Department of Decision Sciences at HEC Montréal. Her research intersects AI and Cognitive Science. She is interested in studying how both humans and machines learn to understand language and reason about complex problems. Before joining HEC Montréal, Eva was a postdoctoral fellow at Mila – Québec AI Institute and McGill University’s NLP Group working with Timothy O’Donnell and Siva Reddy. She completed her PhD in computational/cognitive linguistics at Stanford University, co-advised by professors Dan Jurafsky and Mike C. Frank, as part of the Stanford NLP group and the Stanford Language and Cognition Lab. She is a true interdisciplinarian.
 

Talk

What neural networks can teach us about how we learn language | June 4