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

Di Wu

Reinforcement Learning, Deep Learning, Transfer Learning

Supervised by: Doina Precup

Samira Ebrahimi Kahou

Deep learning, Multimodal learning, Reasoning, RL, Metalearning

Susan Amin

reinforcement learning, exploration, statistical physics, polymer physics

Supervised by: Doina Precup

Vincent François-Lavet

Supervised by: Joelle Pineau, 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

Bogdan Mazoure

Deep RL, representation learning, probabilistic modeling, variational inference

Supervised by: Doina Precup, Devon Hjelm

Charles C Onu

machine learning, healthcare

Supervised by: Doina Precup

Clara Lacroce

Learning Automata, RNN, Hankel Operators

Supervised by: Prakash Panangaden, Doina Precup

David Venuto

Deep Learning, Reinforcement Learning

Supervised by: Doina Precup

Del Verme Manuel

TBD

Supervised by: Doina Precup, Pierre-Luc Bacon

Devendra Singh Sachan

Natural Language Processing; Machine Learning

Supervised by: William Hamilton

Emmanuel Bengio

Deep Learning, RL

Supervised by: Joelle Pineau, Doina Precup

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

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

Khimya Khetarpal

Artificial Intelligence, Reinforcement Learning, Attention, Abstractions, Continual RL, Cogsci, Robotics

Supervised by: Doina Precup

Koustuv Sinha

Natural Language Understanding, Systematicity & Logic in NLU, Dialog Systems

Supervised by: Joelle Pineau

Kushal Arora

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

Supervised by: Doina Precup, Jackie Chi Kit Cheung

Lianna Hambardzumyan

Analysis of Boolean functions, Computational Complexity, Combinatorics

Supervised by: Hamed Hatami

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

Martin Gerdzhev

robotics, autonomous systems and vehicles, machine learning, deep learning, inverse reinforcement learning

Supervised by: Joelle Pineau

Martin Klissarov

Temporal Abstractions, Meta-Learning, Off-policy

Supervised by: Doina Precup

Maxime Wabartha

deep learning, reinforcement learning, uncertainty

Supervised by: Joelle Pineau

Maziar Gomrokchi

Privacy-Preserving RL, Adversarial Privacy Attacks in Deep RL, Reinforcement Learning, Differential Privacy, Exploration-Exploitation Trade-Off

Supervised by: Doina Precup

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

Neda Etebari Alamdari

Reinforcement Learning, Machine Learning, Optimization, Revenue Management

Supervised by: Doina Precup, Gilles Savard

Neil Girdhar

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

Supervised by: Doina Precup

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

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

Tianyu Li

machine learning, reinforcement learning, time series, system dynamics

Supervised by: Doina Precup

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

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 Lupu

Reinforcement Learning, NLP

Supervised by: Doina Precup

Andrei Mircea Romascanu

Natural Language Processing, Reinforcement Learning

Supervised by: Jackie Chi Kit Cheung, Doina Precup

Anthony G.X. Chen

reinforcement learning, neuroscience, deep reinforcement learning, generalization, transfer

Supervised by: Joelle Pineau, Blake Richards

Barleen Kaur

Machine learning, deep learning, transfer learning, generative models

Supervised by: Doina Precup, Tal Arbel

Cesare Spinoso-Di Piano

Biomedical natural language processing

Supervised by: Jackie Chi Kit Cheung, Samira Rahimi

Charlotte Ding

network science, graph representation learning, disease modelling

Supervised by: Reihaneh Rabbany

Chen-Yang Su

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

Supervised by: Joelle Pineau, Brent Richards

Clément Jumel

NLP, natural language reasoning

Supervised by: Jackie Chi Kit Cheung, Annie Louis

Deepak Sharma

causal inference, large-scale probabilistic inference, generative models, reinforcement learning, applications to healthcare and finance

Supervised by: Joelle Pineau, Audrey Durand

Dora Jambor

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

Supervised by: Joelle Pineau, William Hamilton

Etienne Denis

Inductive learning, graph representation learning, relational inference, neural knowledge graphs, language transformers, graph neural networks

Supervised by: 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

Jiapeng Wu

natural languag reasoning, knowledge graph representation

Supervised by: Jackie Chi Kit Cheung, William Hamilton

Jin Dong

NLP, natural language reasoning, graph networks

Supervised by: William Hamilton

Jingyi He

NLP, Text Summarization

Supervised by: Jackie Chi Kit Cheung

Joshua Holla

Reinforcement Learning, Deep Learning, Transfer Learning

Supervised by: Doina Precup, David Meger

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

Lucas Pagé-Caccia

Deep Generative Models

Supervised by: Joelle Pineau

Martin Pömsl

Machine Learning, Natural Language Understanding

Supervised by: Jackie Chi Kit Cheung

Matt Grenander

automatic summarization, NLP

Supervised by: Jackie Chi Kit Cheung, Annie Louis

Mehran Shakerinava

Deep Learning, Representation Learning

Supervised by: Siamak Ravanbakhsh

Mohammad Amini

DRL, Model Based RL, planning, imitation learning, representation learning, transfer learning, hierarchical learning, Model Ensembles

Supervised by: Doina Precup

Nadeem Ward

Reinforcement learning, learning representations, optimization

Supervised by: Doina Precup

Nicholas Meade

Natural Language Processing

Supervised by: Siva Reddy

Raviteja Chunduru

Hierarchical RL, representation learning

Supervised by: Doina Precup

Rosie Zhao

Supervised by: Prakash Panangaden

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

Supervised by: Doina Precup

Srinivas Venkattaramanujam

Reinforcement Learning

Supervised by: Doina Precup

Sékou-Oumar Kaba

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

Supervised by: Siamak Ravanbakhsh

Tyler Kastner

Supervised by: Prakash Panangaden

Vaibhav Adlakha

Natural Language Processing, Deep Learning

Supervised by: Siva Reddy

Vishal Jain

Deep Reinforcement Learning, NLP

Supervised by: Doina Precup, Marc G Bellemare

Ximeng Mao

deep learning, generative model, reinforcement leanring

Supervised by: Joelle Pineau, Shirin A. Enger