Marco Mondelli is an Assistant Professor at the Institute of Science and Technology Austria.
Marco focuses on developing information-theoretically principled methods for high-dimensional inference problems that appear in machine learning and data science. He received a Lopez-Loreta Prize, an EPFL Doctorate Award and paper awards from the IEEE International Symposium on Information Theory (ISIT), the Symposium on Theory of Computing.
