Dr. Omar Hassan

Omar Hassan grew up in Cairo where, in his telling, the defining experience of his childhood was watching traffic — specifically, how the apparently chaotic movement of thousands of vehicles managed to produce something that mostly worked without any central coordination. 'I didn't know that was complexity science,' he says. 'I just thought it was fascinating.' It still is.

His PhD at MIT on collective intelligence in multi-agent systems connected his childhood fascination with complex systems to the formal tools of computer science and AI. He was among the first to apply rigorous complexity science frameworks to the study of large-scale AI agent interactions — work that proved prescient as multi-agent AI systems became central to the field.

At the Santa Fe Institute, he spent three years thinking across disciplines — economics, biology, physics, computer science — about how intelligent behavior emerges from the interaction of many simpler components. This cross-disciplinary perspective is reflected in everything he teaches: he draws analogies to ant colonies, financial markets, and ecosystems as readily as he discusses AI architectures.

At the University of Washington, his lab works on both the theoretical foundations and practical engineering of multi-agent AI systems. He has a gift for making complex ideas feel accessible — students consistently report that his lectures are the ones they remember years later.