My research interests lie primarily in Machine Learning and Artificial Intelligence, with emphasis on decision- making under uncertainty using principled mathematical tools from probability theory, decision theory, and statistics.
I received my Ph.D. degree in Computer Science from the University of Massachusetts Amherst in 2005. I was a Postdoctoral Fellow at the Department of Computing Science at the University of Alberta from 2005 to 2008. I was a Researcher at the Institut National de Recherche en Informatique et en Automatique (INRIA) in Lille, France from 2008 to 2013. In October 2013, I joined Adobe as a Senior Analytics Researcher to work in the area of Digital Marketing.
I am on the editorial board of the Machine Learning Journal (MLJ) since 2011 and have reviewed for the Journal of Machine Learning Research (JMLR), Journal of Artificial Intelligence Research (JAIR), Journal of Operations Research, IEEE Transactions on Automatic Control, Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), NeuroComputing, Journal of Aunomous Robots, and International Journal of Robotics Research (IJRR).
I have been an Area Chair at NIPS 2013 and IJCAI 2011; a Program Comittee member at ICML 2006-2014, AAAI 2007, 2008, 2011, UAI 2012, and ECML 2010, 2012; and a Reviewer for NIPS 2006-2012, AISTATS 2009, 2011, 2012, AAAI 2005, IJCAI 2007, and COLT 2008.
For my detailed CV including my list of publications, please click here.