Yifei Wang's Homepage

Yifei Wang

Machine Learning Research Fellow

Biogen

About Me

Yifei Wang received her Ph.D. degree in Computer Science at Brandeis University. She earned her bachelor’s degree in Mathematics from Tsinghua University. Her research focuses on graph neural networks, multimodal learning, fairness, and generative models, with interdisciplinary work in AI4Science and healthcare.

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Interests

Deep Learning
AI4Science
AI For Drug Discovery
Generative AI
Reinforcement Learning
Fairness

Education

PhD in Computer Science
Brandeis University
BS in Mathematics
Tsinghua University

📚 My Research

I received my Ph.D. degree in Computer Science at Brandeis University. I am now working at Biogen as a machine learning research fellow, focusing on AI for drug discovery. I blog about my publications and recent news. I am actively collaborating with those interested in cutting-edge AI topics like AI4Science, and am always happy to assist junior students who are keen on pursuing research. Feel free to reach out via email if you’d like to collaborate or discuss research ideas. 😃

Featured Publications

Large Language Model

Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review

We conduct a comprehensive review of recent studies that leverage generative LLMs for EHR analysis and applications, focusing on their performance and strategies for improvement.

Aug 25, 2025

AI for Drug Discovery

Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning

We propose an asymmetric contrastive multimodal learning framework, an effective and training-efficient framework tailored for molecules, promoting cross-modality understanding between the molecular graph and other chemical modalities.

Jul 23, 2025

AI for Drug Discovery

Motif-based graph representation learning with application to chemical molecules

We designed a novel convolution module for graph representational learning on molecules with an efficient pretraining strategy, enabling the capture of local structural and semantic information from graph motifs.

Jan 11, 2023

Recent Publications

Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Wenyu Zhang, Xinyi Wang, Xinyu Chen, Hao Guan, John Lian, Pengyu Hong, David W. Bates, Li Zhou (2026). Testing and evaluation of generative large language models in electronic health record applications: a systematic review. JAMIA.

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Yiming Li, Xinsong Du, Yifei Wang, Xinyu Chen, Zhengyang Zhou, John Lian, Ya-Wen Chuang, Pengyu Hong, Peter C. Hou, Li Zhou (2025). AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation. IJMEDI.

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Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W. Bates, Li Zhou (2025). Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. IJMEDI.

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Yifei Wang, Yunrui Li, Lin Liu, Pengyu Hong, Hao Xu (2025). Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning. JCIM.

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Xinsong Du, Anna Nagy, Michael F Oates, Yifei Wang, Xinyi Wang, Joseph M Plasek, Samuel J Aronson, Matthew S Lebo, Li Zhou (2025). Precision Grounding: Augmenting Large Language Models with Evidence-Based Databases for Trustworthy Genetic Variant Summarization. MedRxiv.

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Recent & Upcoming Talks

Graph Neural Network

Oral Presentation of My Dissertation Proposal at CS PhD Retreat

Better AI in Scientific Applications: Interdisciplinary Approaches for Advancing Representational Learning

May 29, 2024

Fairness

Oral Presentation at AMIA 2023 Annual Symposium

In Session 14: Application of Informatics in Health Equity - "All the Things You Are" at AMIA.

Nov 13, 2023

Graph Neural Network

Poster Presentation at Boston Symmetry Day 2023

Motif-based Graph Representation Learning for Molecules

Apr 7, 2023

🎉 I joined Biogen!

Feb 17, 2025

I’m happy to share that I’m starting a new position as Machine Learning Research Fellow at Biogen!

Feb 17, 2025

🎉 Congratulations to Andrew Nguyen for receiving the Kukin Moskowitz Prize for Excellence 2024.

Apr 19, 2024

I am delighted to mentor Andrew Nguyen on his undergraduate thesis and nominate him for the 2024 Student Involvement Prize and Award at Brandeis University. It’s wonderful to see Andrew being recognized with the Kukin Moskowitz Prize for Excellence.

Apr 19, 2024