Paper 'Estimate LLM Unseen Knowledge with KnowSum' is now on arXiv; 'Interpretable Multimodal Interaction-aware Mixture-of-Experts (I²MoE)' accepted into ICML 2025; 'Missing Modality Imputation with MoE-Retriever' awarded Best Paper at AAAI GenAI4Health Workshop 2025.
Research Experience
June 2025: Machine Learning Intern at BigHat Biosciences, focusing on antibody therapies; Presented papers and posters at various international conferences such as NeurIPS 2025, ICML 2025, etc.
Education
B.A.Sc. in Applied AI from The University of Hong Kong, capstone with Prof. Lequan Yu (HKU-MedAI) & mentor Fuying Wang; Exchange & Research at Wellesley College and MIT, AI for Science with Prof. Connor Coley, mentored by Samuel Goldman; Summer at the University of Oxford, Clinical AI research mentored by Prof. David Clifton.
Background
Ph.D. student in Computer Science at the University of Pennsylvania, working with Prof. Qi Long. Research focuses on multimodal learning, large language models, and agentic AI and their applications in biomedicine and science. Specializes in deep learning and computational approaches to solve complex real-world problems in healthcare and scientific discovery.
Miscellany
Hobbies include running, bouldering, cooking, live music, and traveling.