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.

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.

Ernesto Ortega Díaz is a Visiting Researcher at the PoET lab. His research explores the interplay of statistical physics and complex systems, focusing on dynamic processes on networks. His research ranges from epidemics, innovation-obsolescence, opinion dynamics and social interactions such as crime networks. His work digs into how mathematical and computational models can unveil the underlying mechanisms of these systems, aiming to provide insights into both theoretical and practical challenges.

Ernesto has a PhD in Physics from the University of Havana, where he also completed his Master's and Bachelor's degrees in Physics Engineering. He did a postdoc at the Complexity Science Hub. Ernesto's academic journey includes significant teaching and mentorship roles in Havana University and University of Informatics Science in Cuba.

Shlok Shah is an incoming summer intern at the Complexity Science Hub, passionate about the intersection of mathematics and computation. As a rising junior at Princeton University, studying computer science, Shlok is deeply interested in computational modeling and machine learning. At the Hub, Shlok will focus on leveraging these techniques to better understand the dynamics of armed conflicts, exploring how computational tools can model intricate patterns in the data.

Clemens Baldzuhn is an incoming summer intern at the Complexity Science Hub and is interested in leveraging quantitative models to advance social science. With a dual bachelor's degree in Psychology and Sociology he is currently pursuing a joint master's program in Statistics in Berlin. At the Hub, Clemens will focus on the model of armed conflict dynamics, exploring how to enhance its generalizability to better understand and predict complex social phenomena.