Team

David Rolnick

Machine Learning Theory, Climate Change, AI For Good

Doina Precup

Reinforcement Learning, Reasoning and planning under uncertainty

Jackie Chi Kit Cheung

NLP, Summarization, Computational Semantics

Joelle Pineau

Reinforcement Learning, NLP, Dialog

Prakash Panangaden

Machine Learning, Quantum Information Theory, Probabilistic Systems

Reihaneh Rabbany

Machine Learning, Knowledge Graphs

Siamak Ravanbakhsh

Machine Learning, Learning on Graphs, Generative Models, Probabilistic Models

Siva Reddy

Natural language Processing, Probabilistic Models, Reasoning

Marc G. Bellemare

Reinforcement Learning, Representation Learning, Exploration

Nicolas Le Roux

Machine Learning, Neural Networks, Optimization and Large-Scale Learning

Timothy J O'Donnell

Natural Language Processing, Linguistics, Cognitive Science

Susan Amin

reinforcement learning, exploration, statistical physics, polymer physics

Supervised by: Doina Precup

Aarash Feizi

Deep Learning, Vision, Graph Representation Learning

Supervised by: Reihaneh Rabbany, Adriana Romero Soriano

Aishik Chakraborty

Deep Learning, Multitask and Transfer Learning, NLP

Supervised by: Jackie Chi Kit Cheung

Andre Cianflone

Natural Language Processing, Deep Learning, Reinforcement Learning

Supervised by: Jackie Chi Kit Cheung

Arushi Jain

Reinforcement Learning, Temporal abstractions, AI Safety, Risk-minimization, Stochastic Approximation

Supervised by: Doina Precup, Pierre-Luc Bacon

Ayush Jain

Reinforcement Learning, Hierarchical RL, Skill-based learning

Supervised by: Doina Precup

Charles C Onu

machine learning, healthcare

Supervised by: Doina Precup

Chen-Yang Su

Inverse Reinforcement Learning, Imitation Learning, Causal Inference, Statistical Genetics, Machine Learning Applications to Healthcare

Supervised by: Joelle Pineau, Brent Richards

Clara Lacroce

Learning Automata, RNN, Hankel Operators

Supervised by: Prakash Panangaden, Doina Precup

David Venuto

Deep Learning, Reinforcement Learning

Supervised by: Doina Precup

Devendra Singh Sachan

Natural Language Processing; Machine Learning

Supervised by: Joelle Pineau, William Hamilton

Faizy Ahsan

Genetics, Deep Learning, Graphical Models

Supervised by: Mathieu Blanchette, Doina Precup

Haque Ishfaq

Exploration in RL, Bandits, Learning Theory, TCS, Concentration inequalities, high-dimensional probability

Supervised by: Doina Precup

Harry Mingde Zhao

Reinforcement Learning, Neuro-Inspired AI

Supervised by: Doina Precup, Yoshua Bengio

Harsh Satija

Reinforcement learning

Supervised by: Joelle Pineau

Howard Huang

Supervised by: Doina Precup

Hugo Sonnery

Supervised by: Siamak Ravanbakhsh

Ian Porada

Representation Learning, Natural Language Understanding, Common Sense

Supervised by: Jackie Chi Kit Cheung

Jacob Buckman

Reinforcement Learning, Deep Learning

Supervised by: Doina Precup, Marc Bellemare

Jad Kabbara

Natural Language Generation, Computational Pragmatics, Deep Learning

Supervised by: Jackie Chi Kit Cheung

Jean Harb

Reinforcement Learning, Deep Learning

Supervised by: Doina Precup

Jesse Farebrother

Reinforcement Learning, Temporal Abstractions, Representation Learning, Deep Learning

Supervised by: Marc G. Bellemare, Doina Precup

Joey Bose

Generative Modelling, Adversarial Machine Learning, and Meta Learning at the intersection of structured data such as language, graphs and images.

Supervised by: Prakash Panangaden

Jonathan Lebensold

Privacy-Preserving ML, Differential Privacy, Reinforcement Learning, Transfer, Healthcare

Supervised by: Doina Precup, Borja Balle

Kushal Arora

Reinforcement Learning, Manifold Learning, Compositionality and Representation learning for languages, NLP

Supervised by: Doina Precup, Jackie Chi Kit Cheung

Lucas Pagé-Caccia

Deep Generative Models

Supervised by: Joelle Pineau

Malik H. Altakrori

Authorship Analysis, Text Mining, Machine Learning, NLP, and Deep Learning

Supervised by: Jackie Chi Kit Cheung, Benjamin Fung

Mandana Samiei

Reinforcement Learning, Meta-learning, Developmental learning, Neuroscience

Supervised by: Doina Precup, Blake Richards

Manuel Del Verme

TBD

Supervised by: Doina Precup, Pierre-Luc Bacon

Martin Klissarov

Temporal Abstractions, Meta-Learning, Off-policy

Supervised by: Doina Precup

Maxime Wabartha

deep learning, reinforcement learning, uncertainty

Supervised by: Joelle Pineau

Melissa Mozifian

deep reinforcement learning, transfer and meta-learning, imitation learning

Supervised by: Joelle Pineau, David Meger

Meng Cao

NLP, Deep Learning

Supervised by: Jackie Chi Kit Cheung

Neil Girdhar

causal models, deep learning, representation learning, energy-based models

Supervised by: Doina Precup

Nicholas Meade

Natural Language Processing

Supervised by: Siva Reddy

Nishanth Anand

Temporal credit assignment, Reinforcement Learning Theory, Deep Reinforcement Learning

Supervised by: Doina Precup

Prasanna Parthasarathi

Reinforcement Learning, Dialog

Supervised by: Joelle Pineau

Priyesh Vijayan

Representation learning, Deep learning, Multi-View learning, Social Networks and NLP

Supervised by: Will Hamilton

Raymond Chua

neuroscience, reinforcement learning, continual learning, hippocampal and artificial replay

Supervised by: Doina Precup, Blake Richards

Riashat Islam

Reinforcement Learning, Sample Complexity, Optimization Methods; Bayesian and Probabilistic Graphical Models, Information Theory

Supervised by: Doina Precup

Safa Alver

Lifelong Reinforcement Learning, Model-Based Reinforcement Learning

Supervised by: Doina Precup

Sahand Rezaei-Shoshtari

Deep RL, Hierarchical RL, Robotics, Representation Learning

Supervised by: Doina Precup, David Meger

Samin Yeasar Arnob

Deep Reinforcement learning, Imitation Learning, Inverse reinforcement learning

Supervised by: Doina Precup

Scott Fujimoto

Deep reinforcement learning, robotics

Supervised by: Doina Precup, David Meger

Shenyang(Andy) Huang

Anamoly Detection in Temporal graph, Tensor Decomposition, Continual Learning / Lifelong Learning, Neural Architecture Search / AutoML, Deep Learning

Supervised by: Reihaneh Rabbany, Guillaume Rabusseau

Shishir Sharma

Reinforcement Learning, Planning, Multi-agent systems

Supervised by: Doina Precup

Shuyuan Zhang

Reinforcement learning, neuroscience

Supervised by: Doina Precup, Xiaowen Chang

Sitao Luan

Reinforcement Learning, Graph Networks, Planning, Matrix Computation

Supervised by: Doina Precup, Xiao-Wen Chang

Sumana Basu

Reinforcement Learning

Supervised by: Doina Precup, Adriana Romero

Sékou-Oumar Kaba

Deep learning, equivariance, physics, chemistry, molecules, materials, quantum mechanics, dynamical systems

Supervised by: Siamak Ravanbakhsh

Tianyu Li

machine learning, reinforcement learning, time series, system dynamics

Supervised by: Doina Precup

Vaibhav Adlakha

Natural Language Processing, Deep Learning

Supervised by: Siva Reddy

Veronica Chelu

reinforcement learning, lifelong learning, predictive models

Supervised by: Doina Precup

Vincent Luczkow

reinforcement learning, causality

Supervised by: Doina Precup

Wesley Chung

reinforcement learning, policy optimization, continual learning

Supervised by: Doina Precup, David Meger

Ximeng Mao

deep learning, generative model, reinforcement leanring

Supervised by: Joelle Pineau, Shirin A. Enger

Yue Dong

NLP, deep learning, reinforcement learning

Supervised by: Jackie Chi Kit Cheung

Akshatha Arodi Nagaraja

Natural Language Processing, Theory of Mind, Deep learning

Supervised by: Jackie Chi Kit Cheung

Albert Orozco Camacho

Network Science, Natural Language Processing, Deep Learning, Game Theoretic RL, Graph Representation Learning, Applications of RL, AI Theory

Supervised by: Reihaneh Rabbany

Amirhossein Kazemnejad

NLP, Out-of-Distribution Generalization, Contrastive Representation Learning

Supervised by: Siva Reddy

Anand Kamat

Deep Learning, Reinforcement Learning

Supervised by: Doina Precup

Andrei Mircea Romascanu

Natural Language Processing, Reinforcement Learning

Supervised by: Jackie Chi Kit Cheung, Doina Precup

Cesare Spinoso-Di Piano

Biomedical natural language processing

Supervised by: Jackie Chi Kit Cheung, Samira Rahimi

Clément Jumel

NLP, natural language reasoning

Supervised by: Jackie Chi Kit Cheung, Annie Louis

Dora Jambor

graph representation learning, meta-learning, logical rule induction, natural language processing

Supervised by: Joelle Pineau, William Hamilton

Gabriela Moisescu-Pareja

Reinforcement Learning, Deep Learning, Graph Representation Learning, ML Theory

Supervised by: Doina Precup

Gandharv Patil

Bayesian Inference, Optimization and Statistical Learning Theory

Supervised by: Doina Precup, Jeremy Cooperstock

Jingyi He

NLP, Text Summarization

Supervised by: Jackie Chi Kit Cheung

Jules Gagnon-Marchand

nlp, unsupervised learning, generative models, transfer learning, transformer model improvements, abstractive question answering

Supervised by: Jackie Chi Kit Cheung

Julia Kaltenborn

Machine Learning for Climate Science

Supervised by: David Rolnick

Junhao Wang

Deep sets, intersection between RL and graph representation learning

Supervised by: Reihaney Rabbany, Doina Precup

Martin Pömsl

Machine Learning, Natural Language Understanding

Supervised by: Jackie Chi Kit Cheung

Mehran Shakerinava

Deep Learning, Representation Learning

Supervised by: Siamak Ravanbakhsh