Postdoctoral Scholars

Pawel Morzywolek

Paweł obtained his PhD in Statistical Data Analysis from Ghent University, and is now a postdoc in the Department of Statistics at the University of Washington. His research focuses on causal inference and statistical inference for infinite-dimensional parameters, with application to study the efficacy of infectious disease prevention strategies.
[website] [twitter]

Students

Nina Galanter

Co-advised with Marco Carone

Nina is a PhD student in Biostatistics at the University of Washington. Nina's research focuses on estimating individualized treatment rules with applications to mental health.

Kayla Irish

Kayla is a PhD student in Statistics at the University of Washington. Kayla's research interests include covariate adjustment methods and the design and analysis of clinical trials.

Saksham Jain

Saksham is a PhD candidate in Statistics at the University of Washington. He is broadly interested in developing machine learning-based approaches for problems in causal inference and sequential decision-making. His research focuses on estimation of heterogeneous distributional treatment effects.
[website]

Alex Kokot

Co-advised with Marina Meila

Alex is a PhD candidate in Statistics at the University of Washington. His current research focuses on functional and geometric approaches to machine learning. More concretely, he studies how to optimally compress large datasets and perform regression using spectrally motivated techniques.

Zhaoqi Li

Co-advised with Lalit Jain

Zhaoqi is a PhD student in Statistics at the University of Washington. His research is broadly on statistical estimation for dependent data as well as designing adaptive algorithms for robust estimation, with connections to reinforcement learning and multi-armed bandits.

Jaewon Lim

Jaewon is a PhD student in Biostatistics at the University of Washington. Jaewon's research focuses on constructing efficient estimators in data fusion settings, with applications to clinical trials.

Lars van der Laan

Co-advised with Marco Carone

Lars is a PhD candidate in Statistics at the University of Washington. He develops causal and machine-learning methods for estimating heterogeneous treatment effects and frameworks for inferring about functional parameters under shape constraints.
[website] [twitter]