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Professor Emma Shujun WANG

Professor Emma Shujun WANG

Assistant Professor

Deep Learning for Digital Health

Biography

Prof. Emma Shujun WANG is an Assistant Professor at PolyU BME, where she leads the Smart Digital Health Lab. Before that, she was a Research Associate in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, and a Postdoctoral Researcher in the Department of Computer Science and Engineering at The Chinese University of Hong Kong, where she also received her Ph.D. She received her B.Eng. from Honors College at Northwestern Polytechnical University.

Her research spans three directions — medical AI, protein AI and AI virtual cell — which together form an end-to-end pipeline for drug discovery, from molecule to cell to patient. Prof. Wang has published more than 50 peer-reviewed papers in top-tier conferences and journals (Nature Communications, The Lancet Digital Health, IEEE-TMI, MedIA, NeurIPS, ICML, ICLR, CVPR, MICCAI, etc.), and serves as reviewer for top-tier journals and conferences.

Prof. WANG is actively recruiting self-motivated PhD students, research assistants, undergraduate researchers, interns, and visiting students from computer science, biomedical engineering, statistics, applied mathematics, or related fields. Interested candidates are requested to email before applying. For full details, please visit her personal website: https://emma-sjwang.github.io.

Research Interests

  • Medical AI
  • Protein AI
  • AI Virtual Cell
  • AI-driven Drug Discovery

Education and Academic Qualifications

  • Doctor of Philosophy, Department of Computer Science and Engineering, The Chinese University of Hong Kong
  • Bachelor of Engineering, Honors College, Northwestern Polytechnical University

Academic and Professional Experience

  • Postdoctoral Researcher, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, Sep. 2021 - Apr. 2022
  • Research Associate, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, United Kingdom, May. 2022 - Mar. 2023

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