Amir-massoud Farahmand is a faculty member, research scientist, and CIFAR AI Chair at the Vector Institute in Toronto, Canada. He is also an assistant professor at the Department of Computer Science, University of Toronto.

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). Prior to joining the Vector Institute, he was a principal research scientist at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, USA for three years, working on developing theoretically-sound algorithms for challenging industrial problems.

Amir-massoud’s research goal is designing an agent that controls its stream of experience, by learning how the outside and inside worlds work while focusing on aspects that are most relevant to its decision making. He takes a theoretical approach to this goal.