Bio

Formal Biography

Amir-massoud Farahmand is an associate professor at the Department of Computer and Software Engineering, Polytechnique Montréal and a core academic member of Mila, as well as an associate professor (status-only) at the Department of Computer Science, University of Toronto. He was a research scientist and CIFAR AI Chair at the Vector Institute in Toronto between 2018–2024, and principal research scientist at Mitsubishi Electric Research Laboratories in Cambridge, USA between 2014-2018. He received his PhD from the University of Alberta in 2011, followed by postdoctoral fellowships at McGill University (2011–2014) and Carnegie Mellon University (CMU) (2014).
 
Amir-massoud’s research vision is to understand the computational and statistical mechanisms required to design efficient AI agents that interact with their environment and adaptively improve their long-term performance. He has experience in developing RL and ML methods to solve industrially-motivated problems.
 
Amir-massoud has extensively published in top and selective venues in machine learning. He has served as a member of editorial board of Machine Learning Journal and Transactions on Machine Learning Research, senior program committee of flagship conferences in ML, and has won many best reviewer awards.
 
See also: CV

Academic/Professional Background