Pascal Poupart is a Professor of Machine Learning in the David R. Cheriton School of Computer Science at the University of Waterloo (Canada) since 2004 and he is the research director of the Waterloo Borealis AI office, which is a research institute funded by the Royal Bank of Canada. He is also a member of the Vector Institute for Artificial Intelligence and the Waterloo AI Institute, and he serves as scientific advisor for ProNavigator and Huawei Technologies. His research focuses on the development of algorithms for reinforcement learning, machine learning and artificial intelligence with application to natural language processing, health informatics, computational finance, telecommunication networks and sport analytics. He published more than 100 research articles in top tier AI venues including JAIR, JMLR, NeurIPS, ICML, AISTATS, ICLR, IJCAI, AAAI, UAI, AAMAS, EMNLP, COLING and SAT. He serves as associate editor of the Journal of Artificial Intelligence Research (JAIR) (2017 – present), member of the editorial board of the Journal of Machine Learning Research (JMLR) (2009 – present) and guest editor for the Machine Learning Journal (MLJ) (2012 – present). He routinely serves as area chair or senior program committee member for NeurIPS, ICML, AISTATS, IJCAI, AAAI and UAI. He received a Cheriton Faculty Fellowship (2015-2018), a best student paper honourable mention (SAT-2017), a silver medal at the SAT-2017 competition, an outstanding collaborator award from Huawei Noah’s Ark (2016), a top reviewer award (ICML-2016), the best main track solver and best application solver (SAT-2016 competition), a best reviewer award (NeurIPS-2015), an Early Researcher Award from the Ontario Ministry of Research and Innovation (2008), two Google research awards (2007-2008), a best paper award runner up (UAI-2008) and the IAPR best paper award (ICVS-2007).