About

I earned my Ph.D. in Biomedical Informatics and Data Science and M.S. in Computer Science at Washington University focused on Agentic AI, Large Reasoning Models (LRMs), and precision medicine. Working with Dr. Fuhai Li and Dr. Michael Province, I developed a biomedical AI ecosystem for multi-omics integration and analysis; and AI Co-Scientist Agent to enable RL-guided knowledge-grounded reasoning for target/drug hypothesis generation.

1. BioMedGraphica: An All-in-One Platform for Biomedical Prior Knowledge and Omic Signaling Graph Generation
   Heming Zhang*, Shunning Liang*, Tim Xu*, Wenyu Li, Di Huang, Yuhan Dong, et al., Carlos Cruchaga, Yixin Chen, Michael Province, Philip Payne, Fuhai Li
   Bioinformatics, May 2026
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2. GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine
   Heming Zhang, Di Huang, Wenyu Li, Michael A. Province, Yixin Chen, Philip R.O. Payne, Fuhai Li
   ICLR 2026
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3. OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Graph Language Foundation Modeling
   Heming Zhang*, Tim Xu*, Dekang Cao*, Shunning Liang, Lars Schimmelpfennig, Levi Kaster, Di Huang, Carlos Cruchaga, et al., Philip Payne, Fuhai Li
   arXiv Preprint, October 2025 (Submitted to Nature Communications, in Review)
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4. OmniCellAgent: Towards AI Co-Scientists for Scientific Discovery in Precision Medicine
   Di Huang*, Hao Li*, Wenyu Li*, Heming Zhang*, et al., Carlos Cruchaga, Michael Province, Yixin Chen, Philip Payne, Fuhai Li
   bioRxiv Preprint, August 2025
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5. M3NetFlow: a novel multi-scale multi-hop modular graph AI model for multi-omics data integration and signaling network inference
   Heming Zhang, Peter Goedegebuure, Li Ding, William Hawkins, David DeNardo, Ryan Fields, Yixin Chen, Fuhai Li
   iScience, February 2025
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6. GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
   Heming Zhang, Di Huang, Yixin Chen, Fuhai Li
   WWW 2025
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7. Using DeepSignalingFlow to mine signaling flows interpreting mechanism of synergy of cocktails
   Heming Zhang, Yixin Chen, Philip R Payne, Fuhai Li
   NPJ Systems Biology and Applications, 2024
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8. mosGraphGen: a novel tool to generate multi-omic signaling graphs to facilitate integrative and interpretable graph AI model development
   Heming Zhang*, Dekang Cao*, Zirui Chen, Ziyuan Zhang, Yixin Chen, Cole Sessions, et al., Guangfu Li, Michael Province, Fuhai Li
   Bioinformatics Advances, 2024
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9. Predicting anti-cancer drug response with deep learning constrained by signaling pathways
   Heming Zhang, Yixin Chen, Fuhai Li
   Frontiers in Bioinformatics, 2021
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10. Investigate the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model
    Jiarui Feng, Heming Zhang, Fuhai Li
    BMC Bioinformatics, 2020
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11. Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model
    Heming Zhang, Jiarui Feng, Amanda Zeng, Philip Payne, Fuhai Li
    AMIA 2020 Annual Symposium (Oral Presentation)
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• hzhang79@bwh.harvard.edu
• Brigham and Women's Hospital, Harvard Medical School