Contact

I graduated in physics and I am interested in the interaction of biological neurons and the resulting behavior. With the help of artificial neuronal networks, I try to reconstruct the activity in the brain, which we understand as a dynamical system, in order to quantitatively describe the interactions in the brain and draw conclusions about the physiology and cognition of humans.
I am also interested in behavior as an emergent phenomenon of neurons and ways to decode it from neuronal activity.
We are currently using fMRI scans to verify our hypotheses against data.

I spend my free time doing sports (running, hip hop, cycling) or let my thoughts run free  while hiking.

I studied psychology and mathematics. My research interprets psychological processes as dynamical systems that can be analyzed and controlled. I develop and apply recurrent neural networks, control theoretic, and reinforcement learning methods to time series data of human affect and behaviour. My goal is to optimize interventions to improve mental well-being, and to gain a better understanding of these inherently nonlinear processes.

My recent research has focused on developing machine learning algorithms for extracting dynamical systems models from empirical time series data. One of my main motivations was to make these approaches work in real world clinical settings, including multi-subject data, very short, noisy, and non-Gaussian time series. A novel research direction I want to pursue is the intersection of creativity and generative AI.

Outside of research, I enjoy many things art-related (making music with my jazz trio triolog, literature, cinema), as well as cooking, playing chess and traveling.

My work is driven by a deep curiosity to uncover the underlying mechanisms of human behavior, ranging from individual cognitive functions to complex social dynamics. Through machine learning and computational models, we aim to bridge the gap between human cognition and societal interactions, advancing both scientific understanding and practical applications.