About me

I am a postdoctoral researcher at the Centre for Complex Systems, within the School of Mathematical Sciences at Queen Mary University of London, where I work with Christian Beck. Previously, I completed my PhD at the Max Planck Institute for Intelligent Systems under the supervision of Caterina De Bacco and supported by the International Max Planck Research School for Intelligent Systems. After my PhD, I also interned at Sony AI.

If you are interested in my full CV or a short bio for an event, contact me.

Research

My research focuses on complex systems. I am particularly passionate about researching society, technological infrastructures, and their interaction. However, my scientific interests are broader, as I deliberately develop and use methods that can be transferred across application areas. Ultimately, my goal is to produce principled research that informs decision-making and contributes to a better world.

More specifically, I am now working on power grids and statistical physics for the UKRI project Stability of the South African Power Grid: A data-driven statistical physics approach [arXiv (2026)] and, also within the engineering domain, I have studied urban mobility [Phys. Rev. Lett. (2023), J. R. Soc. Interface (2025)]. Alongside application-oriented research, I am fond of fundamental research topics related to complex systems, such as Bayesian inference and generative models [J. Stat. Mech. (2024)]. While in industry, I worked on explainable machine learning for scientific discovery [arXiv (2026)].

I like technical work involving mathematical modeling, but I believe observations should always fuel research questions. Therefore, I put data first, whether for training machine learning models, analyzing and interpreting their hidden patterns, or formulating optimization problems that I then enjoy solving. On top of this, I also have a keen interest in clean and efficient code.

If you want to know more, you can see my publications, talks and code, or contact me.