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
• M.S. in Computer & Information Science (GPA: 4.0/4.0)
  University of Pennsylvania, Philadelphia, PA · Aug 2024 – Aug 2026
  
  • Earned en route to Ph.D.
• 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

Professional Experience

• Research Intern
  Microsoft Research, Redmond, WA · May 2026 – Aug 2026
  • Developed reliable machine learning methods for biological applications.
• 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

Publications

Click to view full publication list

Awards & Fellowships

• IMC PhD Fellowship Finalist ($5,000), IMC Trading (2026)
• 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)

Presentations

* equal contribution; ⁺ presenting author

• Xin, J.⁺, Li, X., Qiang, E., He, W., Shang, T., Su, W. J., Long, Q. 2026. UCS: Estimating Unseen Coverage for Improved In-Context Learning. Poster presentation: Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, CA.
• Xin, J.⁺, Qiang, E., Zhu, Z., Li, X., Su, W. J., Long, Q. 2026. Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification. Oral presentation: 2026 NISS Virtual New Researchers Conference, virtual.
• Xin, J.⁺ 2026. Reliable Agentic AI under Partial Evidence and Regime Shift. Invited talk: IMC Trading PhD Fellowship Research Connect Event, Chicago, IL.
• Xin, J.⁺, Yun, S., Peng, J., Choi, I., Ballard, J. L., Chen, T., Long, Q. 2026. I²MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. Poster presentation: Inaugural AASF AIX Summit, New York City, NY.
• 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.

Outreach & Professional Development

Service and Outreach

• CIS 4190/5190 Applied Machine Learning, Guest Lecturer on NLP Module 2, 2025
• Penn AI Inside the Research Series, Featured Speaker (Link), 2025
• UPenn Intercultural Leadership Program, Participant, 2024
• HKU Faculty of Science, Invited Alumni Speaker (YouTube Video), 2024
• HKU Faculty of Science, Student Peer Advisor (Outstanding SPA), 2023–2024
• HKU AI & Data Literacy Student Interest Group, Person in Charge, 2023–2024
• Make_Sense Mexico, Community Influencer, 2022
• HKU Faculty of Science, Invited Student Speaker (YouTube Video), 2021

Teaching Practicum

University of Pennsylvania Certificate in College and University Teaching (CETLI), 2026

Teaching Assistant at CIS 5190 Applied Machine Learning (Spring 2026, Instructors: Prof. Mingmin Zhao and Prof. Jiatao Gu)

Teaching Assistant at CIS 5190 Applied Machine Learning (Fall 2025, Instructor: Prof. Dinesh Jayaraman)

Peer Review

• Journals: IEEE Transactions on Multimedia (2026); Medical Image Analysis (2026); Array (2026).
• Conferences: NeurIPS (2025, 2026); ICML (2025, 2026); ICLR (2026); AAAI (2026, 2027); ACL Rolling Review (January, May, and August 2026); MICCAI (2026); ACM BCB (2026); AMIA (2026).
• Workshops: SCOPE (ICLR 2025); AI4Science (NeurIPS 2026, ICML 2026); FM4LS (ICML 2026); LASS (CIKM 2026).

Professional Memberships

• Student Member: Association for Computational Linguistics (ACL)
• Student Member: International Biometric Society, Eastern North American Region (ENAR)
• CFA Program Candidate, Level II: Affiliated with CFA Society Philadelphia