David Berger

David Berger is a Lecturer at Ulm University, specializing in Stochastic Partial Differential Equations, Probability Theory, and Lévy Processes. He has taught advanced courses such as Stochastic Partial Differential Equations (Winter 2018/2019) and Partial Differential Equations (Summer 2018), and contributed to foundational topics in mathematics, including Elementary Probability and Statistics (Winter 2017/2018).

His research focuses on stochastic modeling, infinitely divisible distributions, and their applications to time series and random fields. He has published work in Mathematische Nachrichten and submitted preprints on topics like Lévy-driven SPDEs and central limit theorems for random fields, often collaborating with Prof. Dr. Alexander Lindner and Prof. Dr. Mitja Stadje.

• Accepted Paper: On quasi-infinitely divisible distributions with a point mass (2019+)
• Preprints: 4 on Lévy processes, SPDEs, and random fields

He presented at major conferences including the Gemeinsame Jahrestagung GDM und DMV 2018 and the 13th German Probability and Statistics Days, highlighting his contributions to stochastic analysis and probability theory.