Adaptive Agents (Adage) Lab – Amir-massoud Farahmand

The list of student/postdoc collaborators whom I had the opportunity to work with.
Are you interested in joining my group? Please read this first!

Current

Graduate

Tyler Kastner (PhD Student, CS@U of T; 2022 – Present; Joint with Murat Erdogdu)
Mete Kemertas (PhD Student, CS@U of T; 2022 – Present; Joint with Allan Jepson)
Amin Rakhsha (PhD Student, CS@U of T; 2020 – Present)
Claas Voelcker (PhD Student, CS@U of T; 2020 – Present; Joint with Igor Gilitschenski)
Avery Ma (PhD Student, CS@U of T; 2018 – Present; Joint with Richard Zemel)
You?! (PolyMtl; 2025 – Present) [Read here]

Undergraduate

You?!

Visitors and Interns

You?!

Past

Graduate

Romina Abachi (MS Student, CS@U of T; 2020 – 2024; Joint with Sheila McIlraith)
Topic: Optimistic Risk-Aware Model-based Reinforcement Learning
Farnam Mansouri (MS Student, CS@U of T; 2020 – 2022; Joint with Murat Erdogdu)
Topic: On the Convergence and Approximation of Policy Gradient Methods for Spectral Measures
Present position: PhD Student at the University of Waterloo
Allen Bao (MScAC Student, CS@U of T; 2021)
Topic: Modern Gameplay Test Automation with Reinforcement Learning
Present position: Sr. Machine Learning Engineer at AMD
Yangchen Pan (PhD Candidate, CS@U of A; Joint with Martha White; 2018 – 2021)
Topic: Improving Sample Efficiency of Online Temporal Difference Learning
Present position: Departmental Lecturer in Machine Learning, Oxford University
Ehsan Mehralian (MS Student, CS@U of T; 2018 – 2020)
Topic: Robust Policy Gradient with Successor Features for Transfer in Reinforcement Learning
Romina Abachi (MS Student, ECE@U of T; 2018 – 2020)
Topic: Policy-Aware Model Learning for Policy Gradient Methods
Present position: PhD student, CS@U of T.
Blanca Miller (Visitor; 2018 – 2019)
Present position: Scientist and educator at Alberta Machine Intelligence Institute (Amii)
Mohamed Akrout (MScAC Student, U of T, 2018)
Topic: RL for Question-Answering-based Dermatological Diagnosis System
Present position: Research Scientist at Triage
Yangchen Pan (PhD Intern, MERL, 2017)
Topic: RL for PDE Control with High-Dimensional Action Spaces
Present position: PhD Candidate at the University of Alberta
Sepideh Pourazarm (Postdoctoral Researcher, MERL, 2017)
Topic: Random Projection Filter Bank for Time Series Prognosis and Fault Detection
Present position: Senior Data Scientist at Nielsen
Jordi Grau-Moya (PhD Intern, MERL, 2017)
Topic: Deep Least-Squares Temporal Difference Learning
Next position: Senior Machine Learning Researcher at PROWLER
Present position: Research Scientist at Google DeepMind
De-An Huang (MS Student, CMU, 2014) [Collaborator]
Topic: MaxEnt Inverse RL for Activity Forecasting
Next position: PhD student at Stanford
Present position: Research Scientist at NVIDIA.
Beomjoon Kim (MS Student, McGill, 2013) [Collaborator]
Topic: Accelerating Reinforcement Learning with Demonstration Data
Next position: PhD student at MIT
Present position: Assistant Professor at KAIST

Visitors and Interns

Amarildo Likmeta (from Universita di Bologna and Politecnico di Milano; 2023 Summer)
Jongmin Lee (from Seoul National University; 2023 Summer)
Patrick Adjei (from Western University; 2023 Summer – Fall)
Reginald Chukwuka Molokwu (from University of New Brunswick; 2023 Summer)
Youssef Mousaaid (PhD Student in Mathematics from University of Ottawa; 2022 May–July)

Undergraduate

Mark Bedaywi (Undergraduate – DCS@U of T; NSERC USRA Awardee; 2023 February – 2024 August)
Sophia Abolore (Undergraduate – DCS @ U of T; 2023 Spring – Summer)
Yash Ramani (Undergraduate – DCS @ U of T; 2023 Winter – Spring)
Mingjian Jiang (BS Student, CS@U of T; 2022 Summer – Fall)
Andrew Wang (BS Student, CS@U of T; 2021 Fall – 2022 Fall)
Aparna Gopalakrishnan (U of T; 2021 Summer)
Victor Liao (Waterloo; 2021 Summer)
Qiyao (Ben) Wei (BE Student, ECE@U of T; 2020 Summer – Fall)
Qi (Simona) Meng (BE Student, ECE@U of T; 2020 Summer – Fall)

Note to my (former) students: If you have a new position or have an updated website, please let me know.