Zhanghu Zhao

I am a Doctoral Researcher in the Probabilistic Machine Learning Group at Aalto University, advised by Prof. Samuel Kaski (Aalto University, University of Manchester, and ELLIS Institute Finland).

Photo of Zhanghu Zhao

Research

My research develops amortized techniques to make Bayesian inference, experimental design, and optimization fast enough to run in the loop.

  • Amortized Inference
  • Bayesian Experimental Design
  • Bayesian Optimization

News

Education

  • Ph.D. in Computer Science
    Aalto University · 2026 – 2030
    Amortized inference, Bayesian experimental design, Bayesian optimization
  • M.Sc. in Business Analytics
    Aalto University · 2024 – 2026
    Probabilistic machine learning, decision making under uncertainty
  • M.Sc. in Computer Science
    University of Helsinki · 2022 – 2024
    Machine learning and deep learning methods
  • B.Sc. in Computer Science and Technology
    Soochow University · 2017 – 2021
    Outstanding Graduate of Soochow University

Publications

Preprints coming soon — in the meantime, see my Google Scholar and GitHub.