Alexander Giessing

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Alexander Giessing is a Postdoctoral Research Associate in the Department of Operations Research and Financial Engineering at Princeton University. He holds a PhD in Statistics from the University of Michigan, Ann Arbor, a MSc in Econometrics and Mathematical Economics from the London School of Economics and Political Science, and a bachelor’s degree from the University of Bonn. The primary goal of Alexander’s research is to develop robust inference procedures for high-dimensional and large-scale data. His specific research interests include bootstrap and resampling techniques, quantile regression, and causal inference.