Jiayi Xin
Scholar

Jiayi Xin

Google Scholar ID: ltQ26LQAAAAJ
CS PhD Student, University of Pennsylvania
Multimodal LearningLarge Language ModelsBiomedical AI
Citations & Impact
All-time
Citations
416
 
H-index
6
 
i10-index
6
 
Publications
17
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • 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.