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.

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).

Peter Dresslar (MS Complex Systems Science, ASU, 2026) is a Visiting Investigator at 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

Peter Mikulecky is a Visiting Scholar in 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.