About
Hi, I'm Fengyun

I trained as an industrial engineer at Tsinghua, then moved to Heidelberg for a master's in scientific computing. Along the way I've worked between medicine and machine learning — from epidemiology studies at Peking Union Medical College to graph neural networks at the German Cancer Research Center (DKFZ).
What I keep coming back to is trust. A model can post an excellent score and still be wrong about the biology, so I care about being able to look inside it. My goal is to build systems in health and biomedicine that people can reasonably rely on.
I speak Chinese, English, and German (B1). Outside of research I run, cook, and play badminton.
Education
Master of Science in Scientific Computing
Universität Heidelberg
2023.4 - 2026.4
Thesis: Digesting Cell Segmentation in Spatial Transcriptomics via Graph Representation Learning
Bachelor of Science in Industrial Engineering
Tsinghua University
2017.7 - 2021.6
Exchange: KTH Royal Institute of Technology, 2019.8 - 2020.1
Research Interests
- Trustworthy, interpretable machine learning for health
- Geometric Deep Learning
- Causal Inference
- Health Economics
- Numerical Optimization