Published multiple papers in top international conferences and journals such as Found. Trends Optim., NeurIPS, ICML. Some of the papers include: 'Multi-agent Online Optimization', 'Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation', 'Conformal Predictions under Markovian Data', etc.
Research Experience
Professor at the Decision and Control Systems division in the EECS school at KTH, Royal Institute of Technology. Leads a strategic initiative 'KTH Center for AI', to coordinate AI research at KTH.
Education
PhD in Applied Mathematics from Ecole Polytechnique, Graduated in Mathematics from Ecole Normale Superieure (Paris), Engineering degree from Telecom Paris, Engineer from Corps des Mines.
Background
Research interests: Machine Learning and AI, reinforcement learning, unsupervised learning, statistics, stochastic processes, control; Applications to communication and social networks, cybersecurity. Short bio: Researcher at Microsoft Research (Cambridge) from 2007 to 2011, Research Engineer at France Telecom R&D from 2000 to 2006, Invited lecturer and researcher at the computer science department ENS Paris from 2004 to 2006.
Miscellany
Delivered keynotes at several international conferences, including DDQC (Data-Driven Queueing Challenges) III at EURANDOM, Eindhoven in 2024.