Eric Moulines

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Bio:
Eric Moulines received the Engineering degree from Ecole Polytechnique, Paris, France, in 1984 and the Ph. D. degree in electrical engineering from Ecole Nationale Supérieure des Télécommunications, Paris, France, in 1990.,In 1990, he joined the Signal and Image processing Department, Télécom ParisTech, where he became a Full Professor in 1996. In 2015, he joined the Applied Mathematics Center, Ecole Polytechnique, where he is currently a Professor in statistics. His areas of expertise include computational statistics, machine learning, statistical signal processing, and time series analysis. His current research topics include large-scale (Bayesian) inference with applications to inverse problems and machine learning and nonlinear filtering. He has published more than 100 papers in leading journals of the field.,Dr. Moulines is a EURASIP and the Institute of Mathematical Statistics Fellow. He served on the editorial boards of the IEEE Transactions On Signal Processing, Stochastic Processes and Applications, and the Journal of Statistical Planning and Inference. He was the Editor-in-Chief of Bernoulli from 2013 to 2016. He received the Best paper Award of the IEEE Signal Processing Society (for papers in the IEEE Transactions On Signal Processing), in 1997 and 2006. He received the 2010 Silver Medal from the Centre National de Recherche Scientifique and the 2011 Orange prize of the French Academy of Sciences. (Based on document published on 21 March 2017).