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
Ph.D. in Statistics, 2020
University of Geneva
M.S. in Statistics, 2016
KU Leuven
Exchange Student, 2016
ETH Zurich
B.S. in Quantitative Methods in Economics and Information Systems, 2014
Warsaw School of Economics
B.A. in Modern Languages, 2014
University of Warsaw