Tong Wang, PhD
Principal Investigator and Assistant Professor, School of Life Sciences, Tsinghua University
Principal Investigator, Tsinghua-Peking Center for Life Sciences
Principal Investigator, Beijing Frontier Research Center for Biological Structure
Principal Investigator, State Key Laboratory of Membrane Biology
Principal Investigator, Center for Life Sciences and Artificial Intelligence, School of Life Sciences, Tsinghua University
Office Address: Room A216-A, Biomedical Hall, Tsinghua University, Haidian District, Beijing, China
Lab Address: Room A208, Biomedical Hall, Tsinghua University, Haidian District, Beijing, China
Phone: +86-010-62794752
Brief Bio
Dr. Wang Tong is the Principal Investigator (PI) of the School of Life Sciences, Tsinghua University, Tsinghua University-Peking University Center for Life Sciences (CLS), Beijing Frontier Research Center for Biological Structures, State Key Laboratory of Membrane Biology, and Center for Life Sciences and Artificial Intelligence. Prior to joining Tsinghua in 2025, he was a Senior Researcher at Microsoft Research. He received his Ph.D. at Tsinghua University in 2019 and worked as a visiting scholar at Harvard University from 2016 to 2017.
His main research directions include AI-driven biomolecular dynamics simulation system (Nature, 2024), molecular structure modeling and prediction (Nat Commun, 2024), AI aided drug discovery (Brief Bioinform, 2023) and biomechanism detection via simulations (Cell Res, 2022 a,b). Over the past five years, as first or corresponding author, he has published more than 30 papers in journals such as Nature, Nat Mach Intell, and top computer science conference, such as NeurlPS and ICLR. He also holds more than ten patents in China and the United States. He has been working as Committee Member of Chinese Bioinformatics Society in protein structure prediction and simulation since it launched.
Dr. Wang has received Capital Frontier Academic Achievement Award (2025), Top Ten Advances in Chinese Bioinformatics Award (2024), Champion in First Global AI Drug Development Competition (2023), Top Downloaded Article Award (2022) and honored reviewer in ACS journals (2022, 2023).
Education and Background
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
Ph.D.
Tsinghua University
Visiting PhD Student
Harvard University
B.S. in Science
Shandong University
Honors, Rewards and Grants
WAIC Youth Outstanding Paper Award
Beijing Nova Program
Capital Frontier Academic Achievement Award
National Key R&D Program of China
AI+Life Science Interdisciplinary Research Program, School of Life Sciences, Tsinghua
Start-up of scientific research for new PI by Tsinghua University
Top Ten Advances in Chinese Bioinformatics (1st rank of teamwork)
Champion in the First Global AI Drug Development Competition
Runner-up of OGB Large Scale Challenge @NeurIPS2022 competition
Top Downloaded Article Award by Wiley Press (1st rank of teamwork)
Certificate of Recognition and Appreciation of ACS Publication Peer Reviewers
National Scholarship for Doctoral Students
First Prize of RONG Scholarship by Tsinghua University
Tang Lixin Scholarship by Tsinghua University
Innovation Scholarship by Beijing Advanced Innovation Center of Structural Biology
Distinguished Study Abroad Scholarship by Tsinghua University
Distinguished Graduation Award of Shandong Province
Distinguished Graduation Award by Shandong University
First-class Scholarship by Shandong University
Presentations, Lectures and Courses
Invited Presentations at Conferences
Artificial Intelligence for BioPharma Conference (AIBC 2026)
Shanghai, China, 2026
ViSNet-PIMA: Biological dynamic structure calculation and simulation based on precise modeling of long-range interactions
The 4th National Academic Conference on Biomolecular Structure Prediction and Simulation
Qingdao, China, 2026
Enhancing long-range interaction modeling for ab initio biomolecular calculations and simulations with ViSNet-PIMA
Ceremony and Symposium on Capital Frontier Academic Achievements
Beijing, China, 2025
How AI revolutionizes protein dynamics research. (Keynote Speech)
AI + Materials Symposium by Beijing Computational Science Research Center
Chengdu, China, 2025
AI driven biomolecular dynamics simulation. (Keynote Speech)
National Conference of the Chinese Society of Biochemistry and Molecular Biology
Nanchang, China, 2025
The coming age of AI driven biomolecular dynamics simulation.
2025 Hong Kong International Biotechnology Convention (BIOHK2025)
Hong Kong, China, 2025
The coming age of AI driven biomolecular dynamics simulation.
National Conference of American Chemical Society (ACS Fall 2025)
Washington, DC, U.S.A., 2025
Coming age of AI driven biomolecular dynamics simulation. Machine learning force field for AI-driven protein molecular dynamics simulation
National Conference of Biomolecular Structure Prediction and Simulation
Changchun, China, 2025
The new era of AI driven biomolecular dynamics simulation. (Keynote Speech)
Artificial Intelligence for BioPharma Conference (AIBC 2025)
Shanghai, China, 2025
The new era of AI driven biomolecular dynamics simulation.
National Conference on Artificial Intelligence Biology
Shanghai, China, 2025
The coming age of AI driven biomolecular dynamics simulation with ab initio accuracy.
National Conference of American Chemical Society (ACS Fall 2024)
Denver, CO, U.S.A., 2024
Transforming protein dynamics simulation with ab initio accuracy at the cost of empirical force filed.
The 15th National Conference of Theoretical and Computational Chemistry
Changchun, China, 2023
ViSNet: A general molecular geometry modeling framework for molecular properties prediction and MD simulations
The 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)
New Orleans, LA, U.S.A., 2023
Geometric transformer with interatomic positional encoding.
The Twelfth National Conference on Bioinformatics and System Biology
Qingdao, China, 2022
AI2BMD: transforming protein dynamics simulation with ab initio accuracy at the cost of empirical force filed.
The Eleventh National Conference on Bioinformatics and System Biology
Guangzhou, China, 2022
AI-powered MD simulation and drug discovery: from algorithm design to applications in combating COVID-19.
The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022)
Virtual Meeting, 2022
How to better introduce geometric information for molecular representation modeling
Invited Lectures at Institutions
Institute of Computing Technology, Chinese Academy of Sciences, 2026
How AI accelerate ab initio molecular dynamics simulation.
Department of Physics, Hong Kong Baptist University, 2026
The coming age of AI driven biomolecular dynamics simulation.
School of AI for Science, Peking University, 2025
Beyond AlphaFold: How AI transforms protein dynamics research.
School of Life Sciences and Technology, Tongji University, 2025
Understanding the power of AI in biomolecular dynamics simulation and drug discovery.
College of Chemistry, Central China Normal University, 2024
Recent advances in AI driven biomolecular dynamics simulation.
Protein Structure In-silicon Forum, Chinese Bioinformatics Society, 2024
The coming age of AI driven biomolecular dynamics simulation with ab initio accuracy.
Beijing Advanced Research Center for Biological Structures, Tsinghua University, 2024
The coming age of AI driven biomolecular dynamics simulation with ab initio accuracy.
Center for Quantitative Biology, Peking University, 2024
The coming age of AI driven biomolecular dynamics simulation with ab initio accuracy.
Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, 2024
The coming age of AI driven biomolecular dynamics simulation with ab initio accuracy.
School of Science, Xi'an Jiaotong-Liverpool University, 2024
Advancing the frontiers of protein dynamics research through AI.
Kuang Yaming Honors School, Nanjing University, 2024
Recent advances in machine learning force fields and biomolecular simulations by AI.
School of Mathematics, Renmin University, 2024
Ab initio characterization protein dynamics with AI2BMD.
Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, 2024
AI2BMD: Transforming biomolecular dynamics simulation with ab initio accuracy driven by ViSNet.
Westlake University, 2023
How AI driven MD facilitates biological research.
Protein Structure In-silicon Forum, Chinese Bioinformatics Society, 2023
AI2BMD: Transforming biomolecular dynamics simulation with ab initio accuracy at the cost of empirical force field.
Beijing Advanced Research Center for Biological Structures, Tsinghua University, 2022
Algorithm design and application for MD simulation and drug discovery.
Protein Structure In-silicon Forum, Chinese Bioinformatics Society, 2021
Algorithm design and applications for protein structure computational research.
School of Mathematics, Renmin University, 2019
DeepFragLib: improved fragment sampling for ab initio protein structure prediction
Courses
Frontier Exploration of Modern Life Science
School of Life Science, Co-taught with other faculty members
AI-driven Biomacromolecule Simulation and Computing
School of Life Science, Co-taught with other faculty members
Molecular simulation of biomacromolecules
School of Life Science, Co-taught with other faculty members