Curriculum Vitae

Education

Ph.D. in Computer & Information Science (GPA: 4.0/4.0)
University of Pennsylvania, Philadelphia, PA · Aug 2024 – present
- Research interests: Large Language Models, Multimodal Learning, AI for Biomedicine
- Advisors: Prof. Qi Long, Prof. Weijie Su
B.A.Sc. in Applied Artificial Intelligence (GPA: 4.06/4.30)
The University of Hong Kong, Hong Kong · Sep 2020 – Jul 2024
- First Class Honours; Minor in Economics
- Capstone Project Mentor: Prof. Lequan Yu
Undergraduate Exchange Student (GPA: 4.0/4.0)
Wellesley College & MIT, Wellesley & Cambridge, MA · Sep 2022 – Jan 2023
- MIT UROP Mentor: Prof. Connor W. Coley
Six‐week Summer Programme (Grade: A)
Exeter College, University of Oxford, Oxford, UK · Jun 2022 – Aug 2022
- Research Placement Mentor: Prof. David A. Clifton

Research Intern
Microsoft Research, Redmond, WA · May 2026 – Aug 2026 (incoming)
- To develop novel multimodal machine learning algorithm for adaptive immune system
Machine Learning Intern
BigHat Biosciences, San Mateo, CA · May 2025 – Aug 2025
- Developed a multimodal machine learning model for antibody therapy prediction
Summer Analyst (Engineering)
Goldman Sachs, Hong Kong · Jun 2023 – Aug 2023
- Built a React-based dashboard to monitor ETL pipelines for a flagship real estate fund
Undergraduate Researcher
Massachusetts Institute of Technology, Cambridge, MA · Sep 2022 – Jan 2023
- Developed novel deep learning models for tandem mass spectrometry data analysis
Student Research Assistant
The University of Hong Kong, Hong Kong · Jan 2022 – Mar 2022
- Conducted research on in‐context learning for LLMs and protein language models
Data Analyst Intern
Centaline Data Technology, Hong Kong · Jun 2021 – Jul 2021
- Performed data-driven market trend analysis for Hong Kong’s second-hand real estate market

PhD Career Exploration Fellowship, University of Pennsylvania (2025)
Graduate Fellowship and Research Stipend Award ($40,000), UPenn Engineering (2024)
Dean’s Honours List, University of Hong Kong (HKU) Faculty of Science (2024, 2022, 2021)
Winnie S M Tang Scholarship in Applied AI (HKD 20,000 *2), HKU (2023, 2022)
C.V. Starr Scholarship (HKD 5,000), HKU (2023)
Worldwide Undergraduate Student Exchange Scholarship (HKD 5,000), HKU (2022)
Talent Development Scholarship (HKD 5,000), HKSAR Government Scholarship Fund (2022)
Laidlaw Scholarship (HKD 10,000), Laidlaw Foundation (2021)
Future Leaders of the Year Scholarship (HKD 20,000), HKU (2020)

* equal contribution; ⁺ presenting author

Li, X., Xin, J.⁺, Long, Q., Su, W. J. 2026. Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know? Invited presentation: International Biometric Society Eastern North American Region (ENAR) 2026 Spring Meeting, Indianapolis, IN.
Xin, J.⁺, Raghu, A., Bhattacharya, N., Carr, A., Montgomery, M., Elliott, H. 2025. Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning. Poster presentation: Neural Information Processing Systems (NeurIPS) AI4Science and FM4LS Workshop, San Diego, CA.
Xin, J.⁺, Yun, S., Peng, J., Choi, I., Ballard, J. L., Chen, T., Long, Q. 2025. I²MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. Poster presentation: Penn Engineering AI Research Mixer, Philadelphia, PA.
Xin, J.⁺, Yun, S., Peng, J., Choi, I., Ballard, J. L., Chen, T., Long, Q. 2025. I²MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. Poster presentation: Penn DBEI 5th Annual Big Data Conference, Philadelphia, PA.
Yun, S.*, Xin, J.*⁺, Choi, I., Peng, J., Ding, Y., Long, Q., Chen, T. 2025 February. Generate, Then Retrieve: Addressing Missing Modalities in Multimodal Learning via Generative AI and MoE. Oral presentation: AAAI GenAI4Health Workshop, Philadelphia, PA.

IEEE TMM
NeurIPS 2025, 2026
ICML 2025, 2026
AAAI 2026
ICLR 2026
ACL ARR 2026 Jan (secondary reviewer)
MICCAI 2026
ACM BCB 2026
AMIA 2026

Student Member: International Biometric Society, Eastern North American Region (ENAR)
CFA Program Candidate, Level II: Affiliated with CFA Society Philadelphia