Ziqing Zhao

Ziqing Zhao

Master student at TUM

Helmholtz AI

Technical University of Munich

I am currently pursuing my M.Sc. in Mathematics at the Technical University of Munich, where I am also a student fellow at the Konrad Zuse School of Excellence in Reliable AI (relAI). Previously, I completed my first Master’s degree in Electrical Engineering at TUM in 2023.

My research interests are probabilistic modeling, and Bayesian deep learning. In October 2025, I joined Fortuin Lab for my Master’s thesis, where I work on Riemannian Neural Processes and quantifying the Sim2Real gap in prior-fitted networks, supervised by Dr. Vincent Fortuin and Tommy Rochussen.

Interests
  • Probabilistic Machine Learning
  • Bayesian Deep Learning
  • Graphical Models
Education
  • M.Sc. in Mathematics, ongoing

    Technical University of Munich

  • M.Sc. in Electrical and Computer Engineering, 2023

    Technical University of Munich

  • B.Eng. in Electronic Information Engineering, 2020

    Beijing Institute of Technology