Recent interests include the combination of Large Language Models (LLMs) with Reinforcement Learning (RL) and reasoning, exploring how RL can unlock new capabilities or ways of generation for LLMs. Also broadly interested in aspects such as efficiency, knowledge representation and manipulation, memorization, factualness, AI safety, fair evaluation, reasoning and planning, as well as multimodality.
Research Experience
Former Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), situated on the University of Chicago campus; Current Assistant Professor at Stony Brook University, with appointments in Data Science, the Department of Applied Mathematics & Statistics, and the Department of Computer Science.
Education
Ph.D. from the School of Engineering and Applied Sciences (SEAS) at Harvard University, advised by Professor Alexander (Sasha) Rush (currently at Cornell University); M.A. in Statistics from Harvard University; B.S. in EE from Tsinghua University.
Background
Research Interests: Natural Language Processing (NLP) and Machine Learning (ML); Professional Field: Data Science, Applied Mathematics & Statistics, Computer Science; Brief Introduction: Currently an Assistant Professor at Stony Brook University, dedicated to building intelligent machines that can understand, interact, and assist humans in a wide range of tasks.
Miscellany
Personal Interest: Passionate about LLM + RL research and maintains an online project tracking the rapid progress in this area.