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Guillaume Obozinski is Deputy Executive Director and Chief Data Scientist at the Swiss Data Science Center.He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018.Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision. Teaching & PhD Courses Statistical machine learning MATH-412 A course on statistical machine learning for supervised and unsupervised learning
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Fernando Perez Cruz, Guillaume Romain Obozinski, Marco Volpi
Thomas Tim Holvoet, Cécile Hébert, Duncan Thomas Lindsay Alexander, Nathanaël Perraudin, Guillaume Romain Obozinski