About me

I am currently a Postdoctoral Fellow at the Munich Data Science Institute, Georg Nemetschek Institute (GNI), Technical University of Munich, selected through the TUM GNI Postdoc Program.

My research aims to advance Augmented Intelligence: adaptive systems that align machine dynamics with human reasoning and autonomy. I approach this through the lenses of dynamical systems theory, neuromorphic computation, and knowledge-integrated machine learning, aiming to build a unified framework for adaptive, interpretable, and human-aligned AI. My current work develops dynamical principles for computation and investigates how symbolic/physical priors can guide scalable reasoning.

I received my Ph.D. with summa cum laude distinction from Technical University Berlin and Leibniz University Hannover, supervised by Prof. Dr.-Ing. Philipp Geyer (Heisenbergprofessor) and Prof. Dr. rer. nat. Marius Lindauer. My dissertation, “Beyond Predictions: Alignment between Prior Knowledge and Machine Learning for Human-centered Augmented Intelligence” proposes foundational mechanisms for aligning data-driven systems with human and domain knowledge. It is organized along three dimensions:

• Decision-Making Process Alignment
• Methodological Paradigm Alignment
• Interaction Pattern Alignment

In early 2024, I was a Visiting Scholar at the Center for the Built Environment (CBE), UC Berkeley, where I explored how causal inference and AI ethics can enhance decision-making in engineering reasoning, an applied step toward scientific machine assistance.

Here you can quickly access my bio, and publications.

Beyond my academic pursuits, I am also a passionate photographer, capturing the balance between light, motion, and silence. I invite you to view my creative expressions at my gallery