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ZhaohanM/README.md

Hi there 👋  I'm Zhaohan Meng

AI-native research for scientific discovery.

Google Scholar LinkedIn ORCID Hugging Face Email

👨‍🎓 About me

  • 🏥  Visiting Research Scholar, Harvard Medical School, Harvard University
  • 🎓  PhD candidate, School of Computing Science, University of Glasgow
  • 🔬  Labs: Glasgow Information Retrieval Group  ·  ANative-Lab
  • 🔭  Research interests:
    • Scientific AI Agents
    • Protein Foundation Models
    • Computational Biology
  • 🤝 Always open to collaboration and discussion — feel free to reach out!
  • 📫 How to reach me: zmeng3@bwh.harvard.edu

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  1. ANative-Lab/Awesome-Self-Evolving-Agents ANative-Lab/Awesome-Self-Evolving-Agents Public

    [Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

    2.5k 191

  2. SSE-Bio SSE-Bio Public

    [EMNLP 2026]* SSE-Bio: A Structured Self-Evolving Agent with Agentic Retrieval Policy for Multi-Hop Biomedical Reasoning.

    Python 1

  3. GraphMed-LT GraphMed-LT Public

    [EMNLP 2026]* GraphMed-LT: Patient-Specific Graph Memory with Latent Clinical Thought Refinement for Multi-Turn Medical Conversations

    Python 4

  4. ExplainBind ExplainBind Public

    ExplainBind: Explainable Physicochemical Determinants of Protein–Ligand Binding via Non-Covalent Interactions

    Python 13 3

  5. FusionDTI FusionDTI Public

    [EMNLP 2025]* FusionDTI utilises a Token-level Fusion module to effectively learn fine-grained information for Drug-Target Interaction Prediction.

    Jupyter Notebook 40 2

  6. FusionGDA FusionGDA Public

    [Briefings in Bioinformatics 2024]* We propose a novel FusionGDA model, which uses a contrastive learning–based training strategy together with a fusion module to enrich the gene and disease semant…

    Jupyter Notebook 7 2