Dr. Tong Wang
Assistant Professor
Dr. Tong Wang is an Assistant Professor at the School of Life Sciences, Tsinghua University, and a researcher at the Tsinghua University-Peking University Center for Life Sciences and Beijing Frontier Research Center for Biological Structure. His research focuses on "Artificial Intelligence + Biomolecular Structure," utilizing deep learning for structural representation learning, property and interaction prediction, dynamics simulation, and sequence design of biological macromolecules and drug molecules.
Dr. Wang received his Bachelor's degree from Shandong University (2010-2014) and his Ph.D. from Tsinghua University (2014-2019). He served as a Senior Researcher at Microsoft Research (2019-2025) before joining Tsinghua University as an Assistant Professor in 2025.
His research has been published in top-tier venues including Nature, Nature Communications, ICLR, and NeurIPS. His work on AI-driven molecular dynamics simulation (AI2BMD) was published in Nature in 2024, representing a significant breakthrough in ab initio characterization of protein molecular dynamics using artificial intelligence.
Academic Profiles
The Tong Wang Research Group focuses on "Artificial Intelligence + Biomolecular Structure," bringing together researchers from computational biology, machine learning, and structural biology to tackle challenging problems in biomolecular dynamics and drug discovery. Our group consists of PhD students, Master's students, postdoctoral researchers, and visiting scholars working on cutting-edge AI applications in life sciences.
Laboratory Facilities
- - High-performance computing cluster for molecular simulations
- - GPU workstations for deep learning model training
- - Access to Tsinghua University supercomputing resources
- - Collaborative workspace in Biomedical Building A216-1
Research Environment
- - Weekly group meetings and journal clubs
- - Collaboration with Microsoft Research and industry partners
- - International research exchange programs
- - Access to cutting-edge molecular datasets and simulation tools
CareerProfessional Experience
Assistant Professor
School of Life Sciences, Tsinghua University
Tsinghua University-Peking University Center for Life Sciences
Beijing Frontier Research Center for Biological Structure
Senior Researcher
Microsoft Research
EducationAcademic Background
Ph.D. in Life Sciences
Tsinghua University
Ph.D. in Computational Biology
Harvard University
Work as visiting a PhD student
Research on protein 3D structure prediction in Nobel Prize lab
Bachelor's Degree
Shandong University
Our research focuses on "Artificial Intelligence + Biomolecular Structure," utilizing deep learning for structural representation learning, property and interaction prediction, dynamics simulation, and sequence design of biological macromolecules and drug molecules to reveal the dynamic mechanisms of life activities and assist in drug discovery.
CoreAI-Driven Molecular Dynamics
Design and application of AI-driven biomolecular dynamics simulation algorithms, including ab initio molecular dynamics with machine learning.
CoreGraph Neural Networks
Development of geometric deep learning algorithms and machine learning force fields for molecular systems.
AppliedAI-Assisted Drug Discovery
Machine learning approaches for molecular property prediction, drug-target interaction, and drug discovery applications.
AppliedProtein Structure Prediction
Deep learning methods for protein structure prediction, conformational sampling, and dynamics analysis.
EmergingBiomolecular Design
AI-driven sequence design and optimization of biological macromolecules for therapeutic applications.
EmergingResponsible AI
Fairness, interpretability, and ethical considerations in AI system development.
RecentMajor Awards & Recognition
Top 10 Advances in Chinese Bioinformatics for 2024
Chinese Society for Bioinformatics
Outstanding contribution to bioinformatics research in China