Victor Letzelter is a Ph.D. Candidate at and LTCI Laboratory from Telecom ParisTech, more precisely in the Signal, Statistics and Learning (S2A) team. Victor is passionate about mathematics and its applications, particularly in artificial intelligence (deep and reinforcement learning, perception, vision, audio) and random modeling (computational statistics, state-space models). His current research focuses on several problems related to distribution learning, uncertainty estimation and domain adaptation for complex tasks, especially with audio data.