Christos Dimitrakakis is interested in adaptive learning problems such as reinforcement learning (mainly within the Bayesian paradigm) as well as on the social impact of machine learning and in particular privacy, fairness, safety and human-AI collaboration. He obtained his PhD from EPFL in 2006 with the topic “Esembles from Sequence Learning” where he pioneered the use of ensemble methods for exploration in reinforcement learning. He is currently working as a senior researcher at Chalmers university of technology, and an associate professor at the university of Oslo, while on leave from his position as an associate professor at the university of Lille.