Speakers
The 2nd International Conference on AI Scientists (ICAIS 2026)
October 17–19, 2026 | Zhongguancun Academy, Beijing, China
Keynote Speakers

Prof. Omar M. Yaghi
2025 Nobel Laureate in Chemistry
Tsinghua University

Prof. Jack J. Dongarra
2021 ACM A.M. Turing Award Laureate
University of Tennessee

Prof. Michael Levitt
2013 Nobel Laureate in Chemistry
Stanford University

Prof. Miguel Nicolelis
Pioneer of Brain-Machine Interfaces
French Academy of Sciences & Brazilian Academy of Sciences

Prof. Chris Sander
Pioneer of Computational Biology and Bioinformatics
Harvard Medical School
Invited Talk Speakers

Xiao Ma
From Microscopic Particles to the Macroscopic World: Revisiting Hilbert's Sixth Problem
Assistant Professor at the University of Michigan. A core collaborator of 2026 Fields Medalist Yu Deng, Ma co-authored the rigorous derivation of the Boltzmann equation from hard-sphere particle systems with Yu Deng and Zaher Hani, overcoming a century-old challenge related to Hilbert's Sixth Problem.

Jian Tang
Partnering with a Turing Award Laureate: Reimagining Drug Discovery with Generative AI
Tenured Associate Professor at Mila and CIFAR AI Chair Professor in Canada; founder of BioGeometry. His work focuses on geometric deep learning and generative AI for protein design and antibody drug discovery.

Jiancheng Yang
From Europe's Leading AI Network: Exploring Spatial Intelligence and Life Sciences
Independent PI at the ELLIS Institute Finland and Tenure-Track Assistant Professor of Intelligent Systems at Aalto University. His research focuses on generative AI, agents, multimodal learning and world models for healthcare AI.

Lingfei Wu
Decoding How Innovation Works: The Science Behind Breakthroughs
Associate Professor of Information Science at the University of Pittsburgh, Lingfei Wu studies the mechanisms underlying scientific innovation through the integration of big data, complexity science, and artificial intelligence. His research has helped uncover how breakthrough ideas emerge and evolve, including the co-development of the Disruption Index, the first validated metric for identifying breakthrough ideas.
His work has been published in leading journals including Nature, Science, and PNAS, and has been featured in The New York Times, The Atlantic, and Harvard Business Review. He is a recipient of the NSF CAREER Award and an NIH R01 grant.