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AI-native research for scientific discovery.

About Me

I am a PhD candidate in Computing Science at the University of Glasgow, supervised by Dr. Ke Yuan and Prof. Iadh Ounis, and a Visiting Research Scholar in the Loscalzo Laboratory at Brigham and Women's Hospital, Harvard Medical School, working with Dr. Hao Xu and Prof. Joseph Loscalzo. Outside of research, I enjoy fishing, hiking, and mountaineering.

Research Interests

  • AI Agents for Scientific Discovery: Agent-native intelligence for multimodal pathology and clinical data analysis, with self-evolving agents learning from expert feedback and execution experience.
  • Computational Biology: Representation learning, interpretable modelling, and benchmark development for biological systems, with a focus on molecular interactions and drug discovery.
  • Scientific Foundation Models: Pre-training, domain adaptation, and post-training of foundation models for molecular and biomedical applications.

News

  • [Aug. 2026] SSE-Bio and GraphMed-LT have been accepted to EMNLP 2026!
  • [Jul. 2026] I joined the Loscalzo Laboratory at Brigham and Women's Hospital, Harvard Medical School, as a Visiting Research Scholar.

Publications

See also my Google Scholar profile.

SSE-Bio: A Structured Self-Evolving Agent with Agentic Retrieval Policy for Multi-Hop Biomedical Reasoning EMNLP 2026 · Accepted

Zhaohan Meng, Zaiqiao Meng, Siwei Liu, Hao Xu, Ke Yuan, Iadh Ounis.

Paper Code

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

Zhaohan Meng, Zaiqiao Meng, Siwei Liu, Hao Xu, Ke Yuan, Iadh Ounis.

Paper Code

ExplainBind: Explainable Physicochemical Determinants of Protein–Ligand Binding via Non-Covalent Interactions bioRxiv 2026 · Preprint

Zhaohan Meng, Zhen Bai, Ke Yuan, Jiangning Song, Yumeng Zhang, Jaime H. Cheah, Wei Jiang, Adam Skepner, Kevin J. Leahy, Iadh Ounis, William M. Oldham, Zaiqiao Meng, Hao Xu, Joseph Loscalzo.

Paper Code Demo Project Page

A Large-Scale Dataset and Benchmark: Do Protein–Ligand Models Learn Binding Sites or Just Binding Likelihood? arXiv 2026 · Preprint

Zhaohan Meng, Zhen Bai, Ke Yuan, Iadh Ounis, Zaiqiao Meng, Hao Xu, Joseph Loscalzo.

Paper Code Dataset

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction Findings of EMNLP 2025

Zhaohan Meng, Zaiqiao Meng, Ke Yuan, Iadh Ounis.

Paper Code Demo Project Page

Heterogeneous Biomedical Entity Representation Learning for Gene–Disease Association Prediction Briefings in Bioinformatics 2024

Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng.

Paper Code Demo

Sequence Pre-Training-Based Graph Neural Network for Predicting lncRNA–miRNA Associations Briefings in Bioinformatics 2023

Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang.

Paper Code

Research Experience

Education

  • PhD in Computing Science, University of Glasgow 2023 – Jun. 2027 (expected)

    Supervisors: Dr. Ke Yuan and Prof. Iadh Ounis.
    Thesis: Knowledge-Grounded Large Language Models for Explainable and Agentic Biomedical Intelligence.

  • BSc (Hons) in Computing Science, University of Glasgow 2020 – 2023

    Supervisor: Prof. Zaiqiao Meng.
    Dissertation: Heterogeneous Entity Representation Learning for Knowledge Graphs in Biomedical Science.

Funding & Honours

Research Community

Biomedical Paper Curation Contributor, Awesome-Self-Evolving-Agents 2025 – Present

I curate and categorise biomedical papers on self-evolving agents to broaden this open-source literature resource's coverage of biomedical agent research.

Mentoring

  • Kaiyan Ling — Undergraduate student in Computer Science, Massachusetts Institute of Technology (MIT).

Professional Service

Conference Reviewer

  • ACL Rolling Review (ACL / EMNLP), 2025, 2026
  • International Conference on Learning Representations (ICLR), 2026
  • ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026
  • IEEE International Conference on Distributed Computing Systems (ICDCS), 2025
  • European Conference on Information Retrieval (ECIR), 2025

Journal Reviewer

  • Bioinformatics, 2026

Volunteer

  • Empirical Methods in Natural Language Processing (EMNLP 2026), Budapest, Hungary.
  • 46th European Conference on Information Retrieval (ECIR 2024), Glasgow, UK.