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.

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Gavin Rees is a Junior Research Scientist in the PoET Lab at the Complexity Science Hub, focusing on using statistical modeling to understand collective behavior and evolutionary dynamics in social systems, and designing social systems that leverage these phenomena for societal benefit. He's particularly interested in using large data sets, from collaborative systems, social interactions, and political bodies, to empirically understand the evolution of cooperation and complex social behaviors. Methodologically, he's interested in Bayesian modeling, probabilistic machine learning, and evolutionary game theory. Prior to joining the PoET Lab, Gavin graduated Harvard with a bachelors in Mathematics and a minor in Computer Science, worked as a software engineer at Markforged in Boston, and then as a research assistant at Institute of Science and Technology Austria.

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.