About me

I am a PhD student in the Seminar for Statistics at ETH Zürich. My research interest lie at the intersection of statistics, causal inference and applied sciences. In particular, I am interested in methods that can be used for applied problems in social sciences and health sciences, as well as writing open-source software that can support such applications. So far I worked on fair machine learning and explainability, and also epidemiological questions of causation in intensive care unit (ICU) research, including applications of AI tools in the ICU.

Office address: Seminar for Statistics, ETH Zürich
HG G18
Rämistrasse 101, 8092 Zurich, Switzerland
Phone: +41 44 632 4673.

Research and CV

Fields of Interest Curriculum Vitae: CV
  • Fair Machine Learning
  • Causal Inference
  • Epidemiology in Intensive Care Medicine
  • Open-Source Statistical Software
Before coming to ETH Zürich
I obtained my BMath and MMath
from the Department of Mathematics
at the University of Cambridge.

Papers and Tutorials

The list of my publications and tutorials can be found below (arranged by topic). You can click on the references to read the papers or access tutorials.

Fair Machine Learning:
Intensive Care Medicine:
Open-Source Statistical Software:

Teaching Experience


I review for JMLR and proudly support the research of the Swiss Sarcoma Network.