Yawen Duan

Yawen Duan received a B.S. in Decision Analytics at the University of Hong Kong in 2020. His research interests include out-of-distribution robustness and generalizability for decision-making algorithms. At CHAI, Yawen works with Adam Gleave on research on the benefits of reward function transfer: to what extent do reward learning methods actually transfer, and how can we exploit transfer to improve the reliability of RL systems?

Prior to CHAI, Yawen spent a year as a full-time research intern at Huawei Noah’s Ark Lab, where he worked on Neural Architecture Search (NAS) and published two academic papers at the Conference on Computer Vision and Pattern Recognition (CVPR) and European Conference on Computer Vision (ECCV). In addition to research, he is deeply passionate about doing the most good. He was a Tianxia Fellow and the director of Effective Altruism Hong Kong.