Leo Zabrocki completed his PhD thesis in June 2022 at the Paris School of Economics and EHESS. His thesis focused on improving causal inference methods to better measure the effects of air pollution on health. He is particularly interested in matching procedures, alternative modes of uncertainty quantification such as randomization inference, and issues related to low statistical power and publication bias. He enjoyes programming in R and he is always looking for new ways to improve his data visualization skills.