Summary
Lingxiao Wang is a researcher and leader with 10 years of experience at the crossroads of machine learning and theoretical physics, currently serving as Deputy Team Director at RIKEN and Assistant Professor at the University of Tokyo. He applies deep neural networks and generative AI to hard problems in Quantum Chromodynamics and lattice simulations, reframing traditional physics workflows through modern AI. As co-PI of the “AI as Science” initiative, he drives cross-disciplinary collaborations that aim to automate scientific discovery and reveal emergent collective behaviors across natural and social sciences. His background spans top institutions—Tsinghua, The University of Tokyo, Frankfurt Institute for Advanced Studies—and includes delivering an AI-for-Science lecture series at Fudan, signaling both deep theory expertise and a commitment to community building. Notably, he blends rigorous PhD-level physics training with practical ML engineering to translate complex simulations into tractable, learnable models.
10 years of coding experience
5 years of employment as a software developer
University of Tokyo
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Tsinghua University