Dr. Marius Yamakou

Biography

Marius Yamakou is a Professor in the Department of Data Science at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He holds a Ph.D. in Mathematics from the Max Planck Institute for Mathematics in the Sciences in Leipzig, where his thesis focused on weak stochastic perturbations in slow-fast dynamical systems. His research is interdisciplinary, bridging applied mathematics, theoretical physics, and computational neuroscience, with interests in machine learning algorithms modeling complex dynamical behaviors. Yamakou has developed techniques that integrate rigorous frameworks from dynamical systems theory and statistical physics, aiming to uncover the principles governing complex dynamics and design predictive control strategies. His work includes applications of dynamical system theory in neuroscience, particularly in non-linear dynamics, synchronization phenomena, and machine learning approaches applied to neural networks. He is actively engaged in teaching, supervising master's theses, and has received several research grants, including a significant DFG Research Grant. In addition, he is involved in organizing conferences and seminars to foster collaboration within the scientific community.

Research Interests

Experience