Zizheng Zhang
About
Since March 2025, I am a PhD student at the Chair of Statistical Learning and Data Science at LMU Munich, where I am supervised by Bernd Bischl.
I work within the group on Interpretable Machine Learning and Explainable AI, led by Dr. Giuseppe Casalicchio. My work focuses on interpretation methods on ML models, feature importance, and methods on feature interactions detection.
Prior to joining LMU, I earned a Master's degree in Applied Statistics from the University of Göttingen. Before that, I also hold a Bachelor's and a Master's degree in Business Informatics from the same university.
Contact
Institut für Statistik
Ludwig-Maximilians-Universität München
Ludwigstraße 33
D-80539 München
Zizheng.Zhang [at] stat.uni-muenchen.de
Research interests
- Interpretable Machine Learning
- Model-agnostic IML methods
- Feature Interaction Detection
You can find me on
References
- Semnani P, Bogojeski M, Bley F, Zhang Z, Wu Q, Kneib T, Herrmann J, Weisser C, Patcas F, Müller K-R (0AD) A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. The Journal of Physical Chemistry C 0, null. https://doi.org/10.1021/acs.jpcc.4c05332.