Joan Bruna

Professor Joan Bruna is a Full Professor of Computer Science and Data Science at the Courant Institute of Mathematical Sciences and the Center for Data Science at New York University, with an affiliated appointment in Mathematics. He is a member of the CILVR (Computational Intelligence, Learning, Vision and Robotics) group and a co-founder of the MaD (Math and Data) group. He has also been a Member of the Institute for Advanced Study during the Special Year on Optimization, Statistics, and Theoretical Machine Learning. Professor Bruna’s research lies at the intersection of machine learning, signal processing, and high-dimensional statistics, with a strong emphasis on the mathematical foundations of machine learning. His work studies optimization, representation, and statistical aspects of learning algorithms and the interplay between these components. In addition to theoretical contributions, he is interested in applying machine learning methods to computational science problems, including geophysics and climate modeling. He is also a Visiting Scholar at the Flatiron Institute (Simons Foundation), Center for Computational Mathematics, where he will spend his full-time sabbatical during the 2025–2026 academic year.