We study complex systems using approaches grounded in network science, information theory, biologically inspired computing, and computational modelling.
Our Research Meet the TeamThe BioComplex Lab develops computational frameworks to help stakeholders understand the complexity that arises in many aspects of society: from city structure to human mobility, from crime structure to patterns of misinformation. We believe that understanding these hidden patterns is key to understanding their function and the cause-and-effect mechanisms linked to them.
Learn More About Our WorkUnderstanding how structure shapes the dynamics and function of complex systems.
Explore →Building descriptive and predictive models of complex systems, from crime to misinformation to inequality in urban environments.
Explore →Exploring large-scale datasets with AI to highlight hidden patterns and emergent properties of complex systems, aiding data-informed decisions.
Explore →We bring together researchers from computer science, data science, mathematics, physics, and social science united by a shared curiosity about complexity. Our work is collaborative, open, and driven by a commitment to rigorous science.
About the LabBrief description of the paper's main findings and why they matter for the field.
Month 2025We welcome [Name] who joins us as a [role]. Their research will focus on [topic].
Month 2025We are always looking for motivated researchers, from undergraduates to postdocs, who are excited about complexity, networks, and the science of living systems.
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