About me
I am a PhD mathematician with strong expertise in stochastic control theory and the development of (AI-based) optimization algorithms. A central focus of my research lies in optimal control of mean-field/reaction-diffusion models within the realm of computational neuroscience and the efficient numerical implementation of optimization algorithms in Python. I possess a strong proficiency in Python and am particularly adept with various tools such as TensorFlow, NumPy, and SciPy.
Research Interest
I am mainly interested in the numerical approximation of optimal controls for Mean-Field S(P)DEs, with a focus on approximations using artificial neural networks. Of particular interest to me are Mean-Field models arising in computational neuroscience.
Education
- 2023 - Ph.D. in Mathematics, Technical University of Berlin
- 2019 - M.Sc. in Mathematics, Technical University of Berlin
- 2016 - B.Sc. in Mathematics, Technical University of Berlin
Research Fields
- Mean-Field stochastic (partial) differential equations
- Stochastic control in infinite dimensions
- Numerical approximation
- Machine Learning