Oier Mees

About

Oier Mees is a Lead Research Scientist for Robot Learning & Foundation Models at Microsoft in Zurich, Switzerland. His research focuses on developing embodied multimodal foundation models to power general purpose agents that can act and reason in both the physical and digital worlds. He joined Microsoft after his time as a Postdoctoral Scholar at UC Berkeley in Prof. Sergey Levine’s lab. He earned his PhD in Computer Science (summa cum laude) from the University of Freiburg in 2023, where he was advised by Prof. Dr. Wolfram Burgard. His work on robot learning has received several accolades, including Best Paper Awards at IEEE International Conference on Robotics and Automation  (ICRA) and the IEEE Robotics and Automation Letters (RA-L). He was also recognized as a Robotics: Science and Systems (RSS) Pioneer in 2022. In addition to his research, Oier is a lecturer at ETH Zurich, teaching a course on Robot Learning. He regularly serves as an Area Chair for the Conference on Robot Learning (CoRL) and as an Associate Editor for IEEE Transactions on Robotics (T-RO), RA-L, ICRA and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). During his PhD, he also interned at NVIDIA AI with Dieter Fox.