Zaid Harchaoui is a Professor at the University of Washington in Seattle, in the Department of Statistics and in the Paul G. Allen School of Computer Science and Engineering (dual appointment), and a Senior Data Science Fellow in the eScience Institute.
He is an action editor at the Journal of Machine Learning Research, and an associate editor at the Journal of the Royal Statistical Society - Statistical Methodology, and a member of the editorial board of the Foundations and Trends Monograph Series. He is on the program committee of the inaugural Conference on Language Modeling, and regularly serves on the program committees of the leading machine learning and AI conferences. He is a principal investigator and a cofounder of IFML, the NSF-AI Institute on Foundations of Machine Learning, and of IFDS, the NSF-TRIPODS Institute on Foundations of Data Science.
He obtained the doctoral degree from Telecom Paris - Institut Polytechnique de Paris, for his research performed at CNRS - the French National Institute for Fundamental Research. He previously held appointments at the Courant Institute of Mathematical Sciences at New York University, and at INRIA - the French National Institute for Research in Digital Science and Technology. His research has been recognized by several paper awards (Neurips, IEEE, ASA). His research has been supported by several fellowships and honors (CIFAR, CNRS, Criteo, Google, INRIA, ISI, Simons Institute).