On November 1, 2021, Mathias Humbert joined the Department of Information Systems at the Faculty of Business and Economics, University of Lausanne. His research topics are cybersecurity, privacy, and machine learning.
How can we leverage machine learning to better evaluate and anticipate security and privacy risks? How can we make sure that data-driven systems respect privacy and that algorithmic decision-making remains fair? What private information is leaked through online forms? The research conducted by Prof. Mathias Humbert tries to answer these questions.
Before joining HEC Lausanne, Mathias Humbert has been a scientific project manager at the Cyber-Defence Campus, armasuisse Science and Technology (Switzerland). Prior to this, he was a senior data scientist at the Swiss Data Science Center (ETH Zurich, EPFL) and a post-doctoral researcher at the Center for IT-Security, Privacy, and Accountability (CISPA) in Saarbrücken, Germany.
He is a recipient of the NDSS 2019 distinguished paper award. He regularly publishes in the most prestigious venues in computer security, such as the ACM Conference on Computer and Communications Security (CCS) or the Network and Distributed System Security Symposium (NDSS).