Alexander Giessing

I am acting assistant professor in the Department of Statistics at the University of Washington. I am broadly interested in inference on high-dimensional data. My research is supported by the National Science Foundation with grant DMS-2310578 (PI).

Ongoing Research Themes:

Gaussian and Bootstrap Approximations
Analysis of Missing/ Incomplete Data
Semiparametric Inference
Quantile Regression
Empirical Process Theory

Before joining the University of Washington, I was postdoc in the Dept. of Operations Research and Financial Engineering at Princeton University. I hold a PhD in Statistics from the University of Michigan, a MSc in Econometrics and Mathematical Economics from the London School of Economics and Political Science, and a BSc in Economics from the University of Bonn, Germany.

News

Apr 15, 2024	🎉 Congratulations, Wenjie, on joining the PhD Program in Statistics at Cornell University!
Apr 4, 2024	🎉 Congratulations, Yikun, on receiving the IMS Hannan Graduate Student Travel Award!
Oct 18, 2023	New on arXiv: Anti-concentration of suprema of Gaussian processes and Gaussian order statistics
Sep 12, 2023	New on arXiv: Efficient inference on high-dimensional linear models with missing outcomes
Sep 4, 2023	New on arXiv: Gaussian and bootstrap approximations for suprema of empirical processes
Sep 3, 2023	New on arXiv: A bootstrap hypothesis test for high-dimensional mean vectors
Aug 8, 2023	Accepted to JRSSB: Debiased inference on heterogeneous quantile treatment effects with regression rank-scores
Jun 15, 2023	NSF award "Semiparametric efficient and robust inference on high-dimensional data"