Mila > News > Mila welcomes 20 new researchers to its faculty members

13 Nov 2019

Mila welcomes 20 new researchers to its faculty members

These researchers from all over the world will enrich the wide-ranging expertise of Mila’s AI research team.

Mila – Quebec Artificial Intelligence Institute, is proud to announce the arrival of addition of 20 new researchers to its team. These researchers, who come from internationally recognized institutions and a variety of research backgrounds, will broaden the range of skills of Mila’s teaching staff. Six of the researchers have been assigned to Mila’s team, while the other 14 are associate members. They will occupy their new positions until the end of 2019.

“The arrival of these many renowned researchers is great news for Mila, of course, and also for Montreal, which is consolidating its worldwide reputation as a centre for research in machine learning,” said Yoshua Bengio, Mila’s founder and Scientific Director. “In a field where competition for the best talent is intense, the decision of these researchers to work with Mila is proof of our leadership in basic and applied research.”

“Montreal has succeeded in creating a dynamic AI ecosystem, and the arrival of these new professors at Mila confirms the appeal and reputation of the global hub for scientific advancement which we are building,” said Valérie Pisano, Mila’s President and CEO. “These high-calibre researchers help attract the best students, the most talented professionals and major investments, thereby helping to advance AI research and its practical applications, particularly through collaboration with start-ups in the sector.”

Core academic members (click on the names to consult the biographical notes of the researchers)

University Affiliation Origin
Irina Rish Université de Montréal AI Foundations Group
IBM T.J. Watson Research Center, New York
Prakash Panangaden McGill University McGill University
Siamak Ravanbakhsh McGill University University of British Columbia
Carnegie Mellon University, Pennsylvania
Pierre-Luc Bacon Université de Montréal Stanford University, California
McGill University
Siva Reddy McGill University Stanford NLP Group, California
University of Edinburg, Scotland
Sarath Chandar Polytechnique Montréal  Université de Montréal
Indian Institute of Technology Madras, India


 Core Industrial Members

University or professional Affiliation Origin
Fernando Diaz Microsoft UMass Amherst, Massachusetts
Danny Tarlow Google; McGill University University of Toronto
Microsoft Research, Cambridge


Associate Academic Members

University or professional Affiliation Origin
Danilo Bzdok McGill University WTH Aachen University, Germany
Marc-Antoine Dilhac Université de Montréal  Université de Montréal
Université de Paris 1 Panthéon-Sorbonne
Audrey Durand Université Laval Université Laval, Québec
Christian Gagné Université Laval Université Laval, Québec
Pascal Germain Université Laval Inria, France
Karim Jerbi Université de Montréal  Université de Montréal
Université Paris IV
François Laviolette Université Laval Université Laval, Québec
Yue Li McGill University Massachusetts Institute of Technology
AJung Moon McGill University McGill University
University of British Columbia
Derek Ruths McGill University McGill University
Rice University, Texas
Guy Wolf McGill University Université de Montréal
Yale University, Connecticut
Frank Wood University of British Columbia University of British Columbia


About Mila

Founded in 1993 by Professor Yoshua Bengio of the Université de Montréal, Mila brings together researchers specialized in the field of deep and reinforcement learning. Recognized worldwide for its major contributions to deep learning, Mila has especially distinguished itself in the areas of language modelling, machine translation, object recognition and generative models. Since 2017, Mila has been a collaboration between the Université de Montréal and McGill University, with close ties to Polytechnique Montréal and HEC Montréal. 

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Media relations: Vincent Martineau
Head, Communications and Media Relations
514 914-5757