Self-introduction: Lingxiao Wang

Hello everyone! My name is Lingxiao Wang (王 凌霄). My research ambitiously bridges the fields of machine learning and physics, with a particular focus on using deep learning techniques, such as deep neural networks (DNNs) and generative AI, to explore QCD matter with physics models and lattice calculations. Beyond traditional boundaries, my work extends to pioneering applications of AI for Science, such as the automating scientific discovery, medical AI, and the analysis of collective behavior.

My academic journey in physics commenced with a Ph.D. at Tsinghua University, China(2015-2020), where I investigated quark matter under extreme conditions. Concurrently, I was a visiting Ph.D. student at the University of Tokyo, Japan(2018-2019), focusing on chiral matter. During my postdoctoral position at the Frankfurt Institute for Advanced Studies(FIAS), Germany (2020-2023), I honed my expertise in applying machine learning to physical sciences, and simultaneously held a joint position as a Research Assistant at Insitute of Physics in Goethe University, where I applied machine learning to THz physics. Currently, I am also a Visiting Scholar at the Institute of Modern Physics, Fudan University, China, working on machine learning applications in particle and nuclear physics.

For many years, I have organized a series of "Machine Learning Physics" seminars and learning clubs, providing an inclusive space for scientists interested in AI. I am especially enthusiastic about knowledge sharing and discussions that pave the way for interdisciplinary topics. My door (Main Building 249) is always open for anyone who wants to drink a cup of coffee/tea with me!