- Multiple papers accepted at top conferences including NeurIPS 2025, EMNLP 2025, KDD 2025, ICML 2025, ICLR 2025, WWW 2025
- Received several fellowships, including 2025 UVA Rookie of the Year Fellowship, 2024 UVA SEAS Endowed Fellowship, Wilson Bicentennial Grad Fellowship
- Best paper award at KDD 2025 GenAIRecP workshop for the paper 'LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience'
Research Experience
- Contributed to key components in various industrial-level LLM-based foundation models at Netflix and LinkedIn
- Worked as a machine learning research intern at Netflix Inc. (Summer'24)
Education
- Ph.D. candidate at the University of Virginia (UVA), advised by Prof. Jundong Li
- Master's degree from IIP Lab, Wuhan University, advised by Prof. Zhenzhong Chen
Background
- Research Interests: Building reliable, controllable, and efficient large language models (LLMs), with a focus on post-training & RL alignment, reasoning, RAG, and mechanistic interpretability
- Professional Field: Causal inference & deep probabilistic models to improve the robustness of machine learning
Miscellany
- Actively seeking industrial R&D opportunities, including internships (Spring/Summer 2026) and full-time positions (2026)