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
Prof. Andre Geim
2010 Nobel Laureate in Physics · Discoverer of Graphene
Regius Professor, University of Manchester; Chair Professor, The University of Hong Kong
Prof. Raj Reddy
1994 ACM A.M. Turing Award Laureate
Carnegie Mellon University
Dr. Magdalena Skipper
Editor-in-Chief of Nature
Chief Editorial Advisor for the Nature Portfolio, Springer Nature
Prof. Minmin Luo
Director of the Chinese Institute for Brain Research (CIBR)
New Cornerstone Investigator, Beijing
Prof. Yunhao Liu
Member of the Chinese Academy of Sciences
Chair Professor, Tsinghua University
Prof. Zuo-Jun Max Shen
Foreign Member of the Chinese Academy of Engineering
Chair Professor and Dean of the Graduate School, The University of Hong Kong
Invited Talk Speakers
Xiao Ma
From Microscopic Particles to the Macroscopic World: Revisiting Hilbert's Sixth Problem
Assistant Professor, University of Michigan
Jian Tang
Partnering with a Turing Award Laureate: Reimagining Drug Discovery with Generative AI
Tenured Associate Professor, Mila; CIFAR AI Chair; Founder of BioGeometry
Jiancheng Yang
From Europe's Leading AI Network: Exploring Spatial Intelligence and Life Sciences
Independent PI, ELLIS Institute Finland; Tenure-Track Assistant Professor, Aalto University
Lingfei Wu
Decoding How Innovation Works: The Science Behind Breakthroughs
Associate Professor of Information Science, University of Pittsburgh
Alex Lamb
Next-Latent Prediction Transformers and Progress in Multi-Token Prediction Objectives
Assistant Professor, College of AI, Tsinghua University; Principal Researcher, Shanghai Qi Zhi Institute
Hao Fan
Integrating Physics and AI for Protein Engineering
Investigator and Acting Director, CIBAS, Chinese Institutes for Medical Research (CIMR), Beijing
Kai Chen
Towards Physical AGI
Head of Embodied Intelligence, Zhongguancun Academy of Artificial Intelligence; Founder of DeepWisdom
Yue Wang
AI for Fusion: From Plasma Modeling and Control to AI-Driven R&D
Head of AI for Energy, Beijing Zhongguancun Academy; Co-founder & CTO, XinzhuAI
Luonan Chen
Chair Professor, School of Mathematical Sciences and School of AI
Shanghai Jiao Tong University
Ziheng Lu
The World of Matter, Rebuilt for AI: Building Learning Environments for Materials Discovery
Founder of Kairos Materials; Head of the Division of Matter Science, Zhongguancun Academy
Yuan Yang
FractalLean: A Recursive Agentic System for Growing Mathematical Proofs Like Fractals
Associate Professor, Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University
Han Zhao
Convex Dataset Selection for Post-Training via Portfolio Optimization
Professor, University of Illinois Urbana-Champaign; Amazon Scholar
Angelica Aviles-Rivero
When AI Forgets Geometry: Learning PDEs with Neural Operators
Assistant Professor, Yau Mathematical Sciences Center, Tsinghua University