Papers accepted at top conferences like ICML, NeurIPS, USENIX Security, etc.; served as a TA for CS348 and CS450; selected as a DAAD AINeT Fellow for the Postdoc-NeT-AI 11/2025 program on Explainable AI.
Research Experience
During his PhD, he has been involved in multiple research projects covering various aspects of large foundation models, such as memory retrieval, memory-enhanced models, and memory editing techniques. He also worked on multimodality, human-robot interaction, reinforcement learning, and natural language understanding before his PhD studies.
Education
Fourth-year Ph.D. candidate in the Computer Science Department at Northwestern University, advised by Professor Yan Chen and Han Liu.
Background
PhD in Computer Science, with research interests focusing on the learning aspects of AI, particularly in large language models, large reasoning models, and multi-modal environments. Special interests include comprehensible, responsible, accessible, and actionable foundation models and their applications.
Miscellany
Has developed interests in many activities over time, including photography, hiking, and traveling. Offers 1 hour weekly for master, undergrad, and high school outreach students to chat about Research, Grad School, and National Parks.