Causal Inference, Explainable AI, Machine Learning, Survey Methodology
I am an Assistant Professor in AI in Business and Economics in the School of Business and Economics at the Humboldt University of Berlin. Prior to joining Humboldt University, I was a Lecturer in Statistical Science in the School of Mathematics at the University of Bristol. I completed my PhD in the University of Geneva, where I was advised by Stefan Sperlich and co-advised by María José Lombardía.
My research interest lies at the intersection of survey methodology, causal inference and machine learning. During my PhD I worked on theoretical aspects of simultaneous, post-selection and computational inference. Afterwards, I broadened my research agenda by trying to solve some open problems in causal inference and merging machine learning with survey sampling methodology. I am problem-solving focused and I worked on problems across many industries (public health, clinical randomized trials, poverty mapping, policymaking).
Pronouns: she/her
