I’m Lingxiao Wang(王 凌霄), now a Research Scientist(PI) in RIKEN-iTHEMS (理化学研究所 数理創造プログラム). My research interest includes Machine Learning in Physics (especially high energy nuclear physics, e.g., Nuclear Matter, Lattice QCD, etc.), Medical AI and Human Behavior.

See my latest CV here.

I have organized many “machine learning physics” seminars for physicists online, find the previous activities in our page MLP club. If you are seeking any form of academic cooperation, please feel free to contact me via lwang[at]fias.uni-frankfurt.de.

🔥 News

🔍 Researches

  • Generative Models in Lattice Calculations
    • Generative Diffusion Models for Lattice Field Theory[13,12];
    • Continuous Autoregressive Networks (CANs) for recognizing the KT phase transition [11];
    • Fourier-Flow Model (FFM) for generating Feynman paths in multimode systems [10].
  • Inverse Problems
    • Reconstructing spectral functions from Lattice calculated propagators [9, 8];
    • Rebuilding Equation of States(EoSs) from neutron star observations [7, 6].
  • AI for Science
    • Machine learning for epidemiology and human behaviours [5, 4];
    • Machine learning for lightning data [3] and medical imaging [2, 1].

💼 Experiences

  • 2024.03 - present, Research Scientist, RIKEN-iTHEMS, Japan
  • 2023.12 - 2024.02, Visiting Scholar, Institute of Modern Physics(IMP) in Fudan University, China
  • 2020.09 - 2023.12, Postdoctoral Researcher, Frankfurt Institute for Advanced Studies, Germany
  • 2021.10 - 2023.10, Postdoctoral Fellow, Xidian-FIAS Joint Research Center, FIAS, Germany
  • 2021.03 - 2023.03, Research Assistant, Institute of Physics, Goethe University, Germnay
  • 2018.09 - 2020.09, Research Assistant, Department of Physics, Tsinghua University , China

📖 Educations

  • 2015.09 - 2020.06, Ph.D., Department of Physics, Tsinghua University , Beijing, China
  • 2018.10 - 2019.10, Joint Ph.D., Physics Department, University of Tokyo , Tokyo, Japan