Lars van der Laan
University of Washington, Seattle. Department of Statistics
B313
Padelford Hall, Northeast Stevens Way
Seattle, WA 98103
lvdlaan@uw.edu
About me
I am a third-year Ph.D. student in Statistics at the University of Washington, with a strong passion for exploring the intersections of causal inference and debiased machine learning. I am advised by Marco Carone, PhD and Alex Luedtke, PhD. For more detail on my background, please check out my CV.
My research interests encompass a wide range of areas, including semi/nonparametric statistics, shape-constrained inference, distribution-free statistical learning and calibration, and inference after data-driven model selection. I am enthusiastic about applying these methodologies to various domains, such as survival and longitudinal data analysis, inference on heterogeneous treatment effects, and personalized decision-making.
For the latest updates on my research and academic endeavors, you can follow me on Twitter at @Larsvanderlaan3 and connect with me on LinkedIn. Additionally, you can access all my research publications on my Google Scholar profile. To explore a curated selection of my works, please visit the publications tab.