Bryan Daniels leads the Collective Logic Lab. His research focuses on predictive modeling of collective behavior in biological systems using real-world data, combining concepts and tools from statistical physics, machine learning, statistical inference, dynamical systems, and information theory.

Colin Lynch is a postdoc at the Collective Logic Lab. He is interested in understanding the cognitive mechanisms that underlie emergent behavior in complex adaptive systems, with a focus on social insects. Much of his research also consists of optimizing experiments designed to study these types of social networks, as their complexity necessitates a strong trade-off between large, costly sample sizes and the information gained from experimentation.

Peter Dresslar (MS Complex Systems Science, ASU, 2026) joins the Collective Logic Lab with interests at the intersection of complex systems, information theory, and machine learning. His recent work investigates inference-time gain interventions on hybrid linear attention language models, exploring how scalar amplification to attention sublayers produces task-dependent response surfaces—with implications for understanding architectural constraints on information flow. After more than a decade as a technical founder and entrepreneur, Peter established Pacific Broadband & Digital Equity, a 501(c)(3) serving U.S. Pacific territories. His broader intellectual interests run from substrate-independent collective dynamics and information-theoretic individuality to non-anthropomorphic visualization of AI internal states. Peter is based in Hawaiʻi. ORCID

Yuanchen Zhao is a PhD student of Complex Adaptive Systems Science. He has a background of both biology and physics. He is interested in broadening the traditional research focus of physics and finding the meaning (and more practical definition) of some important physics concepts in the context of living systems (or other complex systems).

Diya Hamada: I am a sophomore Computer Science major at Arizona State University. I greatly enjoy collaborative work and problem-solving and am delighted to be furthering my exploration into the world of machine learning and data science with the Collective Logic Lab.

Leo Johnson: I am a sophomore at ASU studying Computer Science, with a minor in Economics. I’ve been interested in nature’s functional systems, and systems in general, since I was a kid. I’m eager to gain experience within the field of data science in the Collective Logic Lab.