Regular biography
Guillaume Obozinski is a Deputy Director at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the CS department. He holds the title of Professor and is also associated with the Swiss Data Science Center. His research interests include statistical machine learning, with a focus on supervised and unsupervised learning. Obozinski is involved in teaching, including the course 'Statistical Machine Learning' (MATH-412). His profile page provides additional details on his academic and administrative roles.
Scholar-generated biography
Guillaume Obozinski is a researcher at the Swiss Data Science Center, EPFL, and ETH Zurich, specializing in machine learning. His work focuses on optimization techniques for sparse and structured models, with applications in high-dimensional data analysis. He has contributed to areas such as sparsity-inducing penalties, structured sparsity through convex optimization, and tensor decompositions for knowledge base completion. His research also explores multi-task learning, feature selection, and privacy in genomic data. Obozinski's publications highlight the development of algorithms for structured sparsity, support union recovery, and latent factor models for complex relational data.