I am a Lecturer (Assistant Professor) in the School of Mathematics at the University of Bristol, affiliated with the Institute for Statistical Science. Prior to joining the University of Bristol, I did postdocs at the University of California, Berkeley, the University of Toronto, and the University of Cambridge, where I worked with Mark van der Laan, Dehan Kong, and Qingyuan Zhao, respectively. 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

Nickname: Kasia