Zaid Harchaoui

Zaid Harchaoui is currently an assistant professor in the department of statistics at University of Washington. He completed his Ph.D. at ParisTech (now in Univ. Paris-Saclay), working with Eric Moulines, Stephane Canu and Francis Bach. Before joining the University of Washington, he was a visiting assistant professor at the Courant Institute for Mathematical Sciences at New York University (2015 – 2016). Prior to this, he was a permanent researcher on the LEAR team of Inria (2010 – 2015). He was a postdoctoral fellow in the Robotics Institute of Carnegie Mellon University in 2009.

He received the Inria award for scientific excellence and the NIPS reviewer award. He gave a tutorial on “Frank-Wolfe, greedy algorithms, and friends” at ICML’14, on “Large-scale visual recognition” at CVPR’13, and on “Machine learning for computer vision” at MLSS Kyoto 2015. He recently co-organized the “Future of AI” symposium at New York University, the workshop on “Optimization for Machine Learning” at NIPS’14, and the “Optimization and statistical learning” workshop in 2015 and 2013 in Ecole de Physique des Houches (France). He was Area Chair for ICML 2015, ICML 2016, NIPS 2016, ICLR 2016. He is currently an associate editor of IEEE Signal Processing Letters.