PhD Candidate at the
Complexity Science Hub Vienna.
Complexity researcher with a bachelor and masters in Physics.
Member of the Principles of Emergent Things (PoET) lab and Complex systems Analysis of State Conflict And Democratic Erosion
(CASCADE) network.
Looking for hidden universal laws of nature, using various tools and techniques that fall under the umbrella of complexity science.
What if conflicts could be grouped into a few fundamental types? This study uses a data-driven approach to reveal three archetypal forms of armed conflict across Africa—while also showing why even rich data can fall short when predicting how severe conflicts will become.
High-energy cosmic particles reveal themselves through the light they emit while spiraling through magnetic fields. This project explores how synchrotron radiation changes when those fields are non-uniform, offering a more realistic window into how astrophysical sources like supernova remnants and nebulae shine.
Chimera states—where coherence and incoherence coexist—are among the most intriguing behaviors in complex systems. This work demonstrates how machine learning can reliably predict the delays needed to create these states, bridging theoretical dynamics and experimental design.
From single incidents to regional crises, conflicts form connected chains rather than isolated events. This work reveals a hidden scale at which these connections— unfolding as conflict avalanches—become visible, offering a new way to study, interpret, and eventually anticipate the dynamics of armed conflict.
Life follows striking mathematical patterns, from metabolism to population size—but real ecosystems are shaped by competition and limited resources. This work aims to show how accounting for these interactions reveals mechanisms behind population oscillations and ecosystem instability. (PROJECT CURRENTLY ON HIATUS)
Schelling's Agent based modelling, ML model for crop detection using satellite images, ML model for credit card fraud detection