About Jiayi Xin
Hi, I’m Jiayi (Raina) Xin 👋
I’m a Ph.D. student in Computer Science at the University of Pennsylvania, working with Prof. Qi Long. My research focuses on multimodal learning, large language models, and agentic AI and their applications in biomedicine and science. I specialize in deep learning and computational approaches to solve complex real-world problems in healthcare and scientific discovery.
- Dec 2025: I will be at San Diego for NeurIPS 2025 from Dec 2 to Dec 7!
- Nov 2025: Excited to present I$^2$MoE as a Poster at the 10th Annual MidAtlantic Bioinformatics Conference!
- Sep 2025: Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning accepted into NeurIPS AI4Science and FM4LifeSciences workshops!
- Sep 2025: Excited to present I$^2$MoE at Penn Engineering AI Mixer and Penn DBEI Big Data conference!
- Aug 2025: Language Mixing on Bilingual LLM Reasoning accepted as an Oral Presentation at EMNLP 2025!
đź“ś Previous highlights (click to expand)
- Jun 2025: Estimate LLM Unseen Knowledge with KnowSum is now on arXiv! KnowSum estimates how much unseen knowledge today's large language models know.
- May 2025: Started my internship as a Machine Learning Intern at BigHat Biosciences! Excited to apply my ML knowledge in solving challenges in antibody therapies.
- May 2025: Interpretable Multimodal Interaction-aware Mixture-of-Experts (I$^2$MoE) got accepted into ICML 2025! I$^2$MoE achieves superior multimodal fusion performance and reveals how multimodal interactions influence predictions.
- Feb 2025: Missing Modality Imputation with MoE-Retriever was awarded as the Best Paper at AAAI GenAI4Health Workshop 2025! MoE-Retriever fills in the gaps when some modalities, e.g., MRI scans and clinical notes, are missing.
Academic Journey
- B.A.Sc. in Applied AI, 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.
These experiences have shaped my interdisciplinary, people‑first approach to research and innovation.
Beyond the Lab
When I’m not debugging my models, you’ll find me running, bouldering, cooking, hunting for live music, or collecting passport stamps (I’ve travelled to the Philippines, Singapore, Malaysia, Thailand, Indonesia, Vietnam, Japan, Korea, Australia, and France). Each adventure keeps me curious—and reminds me why building AI applications that works for everyone matters.
Let’s Connect 🤝
I love swapping ideas, exploring new collaborations, and mentoring budding researchers.
- Email: jiayixin [at] seas [dot] upenn [dot] edu