Team - Alex Luedtke

Postdoctoral Scholars

Paweł Morzywołek

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.

Students

Medha Agarwal

Co-advised with Zaid Harchaoui

Medha is a PhD student in Statistics at the University of Washington. Medha's research focuses on optimal transports and gradient flows, with applications to generative modeling, density estimation, and causal inference.

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.

Qijia He

Co-advised with Bo Zhang

Qijia is a PhD student in Statistics at the University of Washington. Her research interests include causal inference, machine learning, and optimal individualized decision making.

Kayla Irish (she/her)

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

Co-advised with Lalit Jain

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

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. He studies how to optimally compress large datasets and perform regression using spectrally motivated techniques.

Jaewon Lim (he/him)

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 machine learning methods for estimating and calibrating heterogeneous treatment effects.