Zhanliang (Aaron) Wang, PhD student at UPenn

Zhanliang (Aaron) Wang 王湛梁

PhD Student in Applied Math & Computational Science
University of Pennsylvania · Wang Genomics Lab @ CHOP

Email Scholar GitHub LinkedIn WeChat

About

I'm a PhD student in Applied Mathematics and Computational Science (AMCS) at the University of Pennsylvania, working in the Wang Genomics Lab jointly affiliated with Children's Hospital of Philadelphia (CHOP) and the Perelman School of Medicine, advised by Dr. Kai Wang. I'm also pursuing a Master of Arts in Statistics and Data Science at the Wharton School.

My research focuses on making AI systems for healthcare more interpretable, multimodal, and trustworthy — particularly for genetic disease diagnosis. I develop methods that combine large language models with multimodal learning to improve clinical decision support.

During my Master's at Penn, I was fortunate to be advised by Dr. Li Shen. I currently work closely with Dr. Bojian Hou (Meta) and Dr. Jiancong Xiao (Penn) on LLM algorithms. Previously, I completed my B.S. in Applied Mathematics (Summa Cum Laude) at NYU's Courant Institute of Mathematical Sciences and Tandon School of Engineering.

Multimodal Learning LLMs for Biomedicine Explainable AI Computer Vision Reinforcement Learning Fairness in AI

Publications

* denotes equal contribution · Full list on Google Scholar

ICML 2025 Co-First Author

Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach

Jiancong Xiao*, Bojian Hou*, Zhanliang Wang*, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen

In Press · Medicine Bulletin First Author

Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes

Zhanliang Wang*, Da Wu*, Quan Nguyen, Kai Wang

Int. J. Future Comput. Commun. 2022 Co-First Author

Interpretability of Deep Learning

Zhi Huang*, Fuchang Li*, Zhanliang Wang*, Zichen Wang*

arXiv 2025 First Author

MultiSHAP: A Shapley-Based Framework for Explaining Cross-Modal Interactions in Multimodal AI Models

Zhanliang Wang, Kai Wang

Paper Video

In Press · Patterns (also ICML 2025 GenBio Workshop, Oral) Co-First Author

MINT: Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications

Da Wu*, Zhanliang Wang*, Quan M. Nguyen, Zicheng Xu, Kai Wang

ACM-BCB 2025 Co-First Author

Fair CCA for Fair Representation Learning: An ADNI Study

Bojian Hou*, Zhanliang Wang*, Zhuoping Zhou, Boning Tong, Zhanyi Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, ...

ACM-BCB 2025

PhenoGPT2: A Multimodal Fine-tuned Large Language Model for Phenotype Extraction and Normalization from Clinical Text and Facial Images

Quan M. Nguyen, Mian Umair Ahsan, Zhanliang Wang, Kai Wang

News

2026.03

MINT paper accepted at Patterns.

2026.03

CoT + RAG paper for rare disease diagnosis accepted at Medicine Bulletin.

2026.02

Started M.A. in Statistics and Data Science at the Wharton School, UPenn.

2025.08

Started PhD in AMCS at the University of Pennsylvania.

2025.05

Paper on LLM calibration accepted at ICML 2025.

2025.05

Received M.A. in AMCS from the University of Pennsylvania.

Education

Ph.D. in Applied Mathematics & Computational Science

University of Pennsylvania

Aug 2025 – May 2029 (expected) · Advisor: Dr. Kai Wang

M.A. in Statistics and Data Science

The Wharton School, University of Pennsylvania

Feb 2026 – Dec 2027 (expected)

M.A. in Applied Mathematics & Computational Science

University of Pennsylvania

Aug 2023 – May 2025 · Advisor: Dr. Li Shen

B.S. in Applied Mathematics, Summa Cum Laude

New York University · Courant Institute of Mathematical Sciences & Tandon School of Engineering

2021 – 2023

Beyond Research

Outside of research, I enjoy playing basketball. Huge fan of the Lakers and LeBron James.

Basketball Lakers LeBron James

Contact

Zhanliang.Wang666@gmail.com

Philadelphia, PA, USA

University of Pennsylvania · Wang Genomics Lab

Always open to collaborations and new ideas — feel free to reach out!