Alexander Drewitz

Prof. Dr. Alexander Drewitz is a Professor in the Department of Mathematics and Computer Science at the University of Cologne, specifically within the Division of Mathematics. His research focuses on probability theory, with primary interests in percolation theory, random geometric structures, transport processes in random media, and applications of high-dimensional probability to data science. He has held prior positions as an ETH Fellow at ETH Zurich and as a J.F. Ritt Assistant Professor at Columbia University. His work bridges theoretical advancements with practical applications, particularly in understanding critical phenomena and stochastic processes in complex systems.

• Education: Doctorate in Mathematics (details not explicitly provided in text).

Research Interests: Prof. Drewitz explores percolation models, Gaussian free fields, random interlacements, and concentration of measure phenomena. His studies often address geometric and dynamic properties of random structures, with implications for data science and statistical physics. Recent work includes investigations into cluster volumes, arm exponents, and universality classes in percolation models.

Publications Trends: His 15 most recent articles (2008–2025) reflect a focus on Gaussian free fields, random interlacements, branching processes, and long-range correlations. Key themes include percolation thresholds, invariance principles, and high-dimensional asymptotics.

• Grants & Activities: Organized conferences like 'Long-range phenomena in percolation' (2024) and 'Geometric and Topological Properties of Random Algebraic Varieties' (2023). Co-founded the Scientific Network on Stochastic Processes on Evolving Networks.

Labs/Teams: Active in the Center for Data and Simulation Science at Cologne, contributing to interdisciplinary research on random geometry and data-driven methods. Leads the stochastics seminar and Bonn Cologne Mathematics-Physics seminar.