Published multiple papers in top-tier conferences like NeurIPS, ICML, and AISTATS, including 'Inverse Q-Learning Done Right: Offline Imitation Learning in Q_π-Realizable MDPs' and 'Optimistic Planning by Regularized Dynamic Programming'.
Research Experience
Organized multiple international conferences and workshops such as ICML workshop and virtual RL theory seminars; interned in London focusing on uncertainty quantification, specifically computing finite-time predictive confidence intervals for general function classes; gave talks at several universities and research institutions both domestically and internationally.
Education
PhD student at University Pompeu Fabra since December 2021, co-advised by Gergely Neu and Arthur Gretton.
Background
PhD student in reinforcement learning (RL), with research interests in the challenges of large-scale RL, structural properties of MDPs, online learning, offline reinforcement learning, representation learning, and learning theory more broadly.
Miscellany
While personal interests are not explicitly mentioned, actively involved in the academic community, organizing reading groups and participating in events like the ELLIS Doctoral Symposium.