Hi! I am currently a research intern at Northwestern University Feinberg School of Medicine. I work for Dr. Deborah Winter. I am a junior-year undergraduate student majoring in Applied Artificial Intelligence. My home university is the University of Hong Kong.

I am interested in AI for Healthcare. I am currently focused on building interpretable and robust computational genomic and EHR (Electronic Health Records) models with deep connection to clinical domain knowledge enhancement. My current research efforts involve using Deep Learning, Graph Learning, Natural Language Processing, and Multimodal Learning.

I love to discuss new ideas related to or beyond those topics and methods. Please email me or message me via LinkedIn to start a chat if you are interested.

I am fortunate to be guided by a number of great mentors whose words and experiences have helped me embark on this great journey in research. Email / [CV](/assets/doc/Yihan Hank Tang_CV_Research_v4.pdf) / LinkedIn

Education

• BASc in Applied Artificial Intelligence, the University of Hong Kong, Expected May 2026

• International Honors Program (Stanford Summer Quarter), Stanford University, June 2023 - August 2023

  Artificial Intelligence (CS221), Computer Organization (CS107), High-Performance Computing (ME344S)

• Exchange studies, University of Illinois Urbana-Champaign, January 2025 - May 2025

Experience

• Research Intern, April 2025 - Now

  Winter Lab, Division of Rheumatology, Northwestern Feinberg School of Medicine

  Supervisor: Dr. Deborah Winter

• Undergraduate Research Assistant, April 2024 - April 2025

  MedAI Lab, Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong

  Supervisor: Dr. Lequan Yu

Research Projects

• CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis

  2025 ACL Findings

  documentation and tutorial (Under construction)

• Ontology Structure-Inspired Electronic Health Records Predictive model

  In progress

  Keywords: Electronic Health Records (EHR), graph learning, LLM, Retrieval

Other Projects and Involvements

• Reviewer of ICCV 2025 Workshop on Computer Vision for Automated Medical Diagnosis

  2025 ICCV CVAMD

• CONTAG: Local employment of a tuned chatbot

  Presentation

• Data Visualization of MIMIC-III dataset

  Report

Honors and Awards

• Dean’s Honors List (top 1%), Faculty of Science, The University of Hong Kong, 2023 - 2024
• Recipient of Summer Research Fellowship (SRF), The University of Hong Kong, 2024
• Undergraduate Exchange Scholarships for IHP at Stanford University, 2022 - 2023

Miscellaneous

• I am a big fan of baseball and Formula 1. My favorite athletes include Matt Chapman.
• I enjoy going to gym and hiking.
• I love both classical and modern music. My Spotify top picks include Shostakovich: Symphony No. 5 in D Minor (Leonard Bernstein, New York Philharmonic), Johann Strauss II: Die Fledermaus Overture (Carlos Kleiber, Bavarian State Orchestra), Gershwin: Rhapsody in Blue (Leonard Bernstein, Columbia Symphony Orchestra), and Premier League anthem.

Last actively modified: 11 July, 2025 Please refer to my LinkedIn account for more up-to-date information.