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# Mark Coates

Associate Academic Member
mark.coates@mila.quebec
Distributed Systems
Deep Learning
Dynamical Systems
Learning on Graphs
Generative Models
Graph Neural Networks
Online Learning
Probabilistic Models
Associate Academic Member
Professor, McGill University

Mark Coates is a Professor in the Department of Electrical and Computer Engineering at McGill University (Montreal, Canada), which he joined in 2002. He received the B.E. degree in computer systems engineering from the University of Adelaide, Australia, in 1995, and a Ph.D. degree in information engineering from the University of Cambridge, U.K., in 1999. He was a research associate and lecturer at Rice University, Texas, from 1999-2001. In 2012-2013, he worked as a Senior Scientist at Winton Capital Management, Oxford, UK. He has served in an editorial capacity for multiple journals; he was an Associate Editor of IEEE Trans. Signal Processing from 2007-2011, a Senior Area Editor for IEEE Signal Processing Letters from 2012-2015, and currently serves as a Senior Member of the Editorial Board of IEEE Signal Processing Magazine. His research team has received the NSERC Synergy Award in recognition of their successful collaboration with Canadian industry. Coates’ research interests include machine learning and statistical signal processing, with a focus on learning on graphs and Bayesian and Monte Carlo inference. His most influential and widely cited contributions have been on the topics of network tomography, distributed particle filtering, and graph representation learning.