Resume
Academic Achievements
- 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.