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Mohammad Ghavamzadeh received a Ph.D. degree in Computer Science from the University of Massachusetts Amherst in 2005. He was a postdoctoral fellow at the Department of Computing Science at the University of Alberta from 2005 to 2008. Since 2008 he has been a researcher at INRIA Lille - Nord Europe, team SequeL. His research interests lie primarily in Artificial Intelligence and Machine Learning, with emphasis on decision making under uncertainty using principled mathematical tools from probability theory, decision theory, and statistics. His current research is mostly focused on using recent advances in statistical machine learning to develop more efficient reinforcement learning algorithms.
2015 - Facebook best student paper award - 31st Conference on Uncertainty in Artificial Intelligence
(UAI-2015), Amsterdam, Netherlands.
2011 - Prime d'excellence scientifique - INRIA award for scientific excellence, France.