About
Dr. Gitte Kremling is a Postdoctoral Researcher in the Department of Mathematics at the University of Hamburg, affiliated with the Mathematical Statistics and Stochastic Processes research group. She works within Johannes Lederer’s Research Group, focusing on theoretical foundations of artificial neural networks and their connections to empirical process theory.
- Education: PhD in Mathematics (University of Wisconsin-Milwaukee), advised by Gerhard Dikta and Richard Stockbridge
Her research bridges mathematical theory with practical advancements in machine learning, emphasizing rigorous frameworks for deep learning models. She actively contributes to software development through the R package gofreg, which implements bootstrap goodness-of-fit tests for regression models.
Gitte has extensive teaching experience at both undergraduate and graduate levels, having taught courses at FH Aachen University of Applied Sciences and University of Wisconsin-Milwaukee. Her teaching includes Statistical Modeling, Calculus, Algebraic Literacy, and specialized summer courses for underrepresented students.
Contact: gitte.kremling@uni-hamburg.de
