Eddie studies the relation between the small and large living patterns around us. Examples range from the how individual neurons constrain collective outcomes to how the fractal nature of a tree matters for forest ecology, to how we combine local conflict events into patterns of armed conflict, and to how local paths affect innovation and obsolescence in society. He is fascinated by how we paint those patterns on the shared canvas of mathematics and what the resulting similarities between the mathematical representations reveal about them. Do similarities reflect analogous function, universal dynamics, or are they (simply) artifacts of our representation? His work aims to answer these overarching questions that come together from the standpoint of information, energy, and scales.

He has been appointed Assistant Professor in Physics at Seoul National University starting in fall of 2026. He is currently a postdoctoral researcher at BOKU and the Complexity Science Hub. Previously, he was an Austrian Science Fund ESPRIT Fellow and a Program Postdoctoral Fellow at the Santa Fe Institute. He has a PhD in Theoretical Physics from Cornell University—where he received a National Science Foundation Graduate Research Fellowship—and a BA in Physics from Princeton University. He has been invited to panels on the science of violence (Santa Fe Council on Int’l Relations) and on the physics of the 2021 and 2024 Nobel Prizes as well as an invited lecturer to the German Physical Society, LSE, King's College, and the universities including Amsterdam, Potsdam, Northwestern, Oxford, and Bristol. He is an Associate Editor for the ACM Transactions on Social Computing.

A short CV is available here.

Google Scholar page

Niraj is a junior researcher and Ph.D. candidate at the PoET Lab within the Complexity Science Hub. His research focuses on understanding collective behavior and emergent phenomena in social systems, with a particular emphasis on developing data-driven frameworks to analyze armed conflicts. Niraj’s interests span across statistical physics, collective behavior, network science, computational modeling, data analysis, and machine learning. He looks at the world from a physics lens and aims to uncover the hidden universal laws of nature through the diverse methodologies encompassed by complexity science. Niraj holds a Master's degree in Physics from the Indian Institute of Technology Indore.

Personal website.

Michael Huber is a junior researcher working on organizational information networks as part of his Master’s thesis research. His focus is to reconstruct how information is consumed within firms by analyzing reading patterns across millions of organizations, revealing emergent structures that are not evident at the individual level.

With a background in theoretical computer science, specialized in graph theory and algorithms, Michael is particularly interested in how these theoretical tools such as the theory of networks can be practically applied to make sense of complex social and organizational systems.

Currently completing his Master's in Logic and Computation at TU Wien, Michael also pursues a complementary interdisciplinary Master’s in Epistemologies of Science and Technology at the University of Vienna, to better understand the systemic impacts of how technology shapes society. He holds a Bachelor’s degree in Computer Science from TU Wien.