International Conference on Learning Representations · 2024
Cited
4
Resume (English only)
Academic Achievements
Multiple publications in Nature Machine Intelligence (2020, 2022)
Publications in Nature Communications (2022, 2024)
Paper in Briefings in Bioinformatics (2021)
Recent works in bioRxiv (2025), NeurIPS (2024, 2025), ICLR (2025), Cell Biomaterials, and Nature Computational Science
Notable projects include: DynamicBind, Accelerated rational PROTAC design, Reactzyme benchmark, OriGene (a self-evolving virtual disease biologist), and GenAI applications for antibody and drug delivery design
Background
Principal Investigator of the GENerative Therapeutics design and Evolutionary Learning (GENTEL) Lab at the Global Institute of Future Technology (GIFT), Shanghai Jiao Tong University
Integrates principles from computer science, biology, and chemistry to decode biomolecular interactions across molecular and systemic scales
Designs biomolecules capable of effectively regulating diseases
Research addresses both fundamental challenges in life sciences and advances state-of-the-art machine learning
Aims to build a transformative 'world model' for end-to-end intelligent drug discovery