Berenice Anne Neumann

Berenice Anne Neumann is a Post Doctoral Fellow and Research Associate in the Department of Mathematics at Trier University, Faculty IV. She holds a PhD in Mathematics from the University of Hamburg, where she also completed her Bachelor’s and Master’s degrees in Mathematics and Economics. Her academic work is deeply rooted in stochastic analysis and game-theoretic modeling.

Her research interests include Stochastic Control Theory, Game Theory, Mean Field Games, Stochastic Processes, and Mathematical Finance. She investigates theoretical and applied aspects of dynamic decision-making in competitive environments, particularly in finite-state settings and under uncertainty. Her work bridges abstract mathematics with economic and financial applications.

The most recent publications reflect a strong trend toward mean field games, stochastic control, and equilibrium analysis, often with discrete state and action spaces. Her articles appear in leading journals such as SIAM Journal on Control and Optimization, Dynamic Games and Applications, and Mathematics and Financial Economics, covering topics from irreversible investment under incomplete information to axiomatic foundations of utility theory. She frequently collaborates with prominent researchers in the field.

• Active presenter at international workshops including the Berlin Workshop on Mathematical Finance, GPSD (German Probability and Statistics Days), and AMaMeF conferences.
• Regular participant in specialized workshops on stochastic models, control, and dynamic games.

She has been actively involved in teaching a wide range of courses at Trier University, including Probability Theory, Measure and Integration, Stochastic Processes, Optimal Stopping, and Stochastic Control in Discrete Time. She has served as lecturer, exercise instructor, and seminar leader since 2017. She has not advised any students yet, and no scientific awards are listed in the provided materials. Her research is conducted within the academic environment of the Department of Mathematics, with no separate lab or team mentioned.