Brennan Klein is an Assistant Teaching Professor at the Network Science Institute, with a joint affiliation at the Institute for Experiential AI. He is the director of the Complexity & Society Lab. His research spans two broad topics: 1) Information, emergence, and inference in complex systems — developing tools and theory for characterizing dynamics, structure, and scale in networks, and 2) Public health and public safety — creating and analyzing large scale datasets that reveal inequalities in the United States, from epidemics to mass incarceration. Dr. Klein received a PhD in Network Science in 2020 from Northeastern University and got his BA in Cognitive Science & Psychology from Swarthmore College in 2014.

Research areas

Complex Systems Forecasting

Developing network-based models and tools for prediction of complex systems and to support effective decision-making.

Fundamental Network Theory

Developing the core theoretical frameworks of complex systems and their applications.

Network Science of AI

Deciphering the network structures underlying natural and artificial learning systems through their connectivity patterns.

Urban Networks and Infrastructure

Understanding urban complexity and optimizing infrastructure networks for efficiency, sustainability, and resilience.

Office location
Office location
177 Huntington Ave
New College of the Humanities
Devon House
58 St Katharine’s Way
London, E1W 1LP, UK
The Roux Institute
100 Fore St
Portland, ME 04101
Room
Desk
1013
Boston, MA 02115
*Primarily remote
Portland, ME
Contact
Download CV
Personal website
@jkbrenGoogle ScholarGithub

Publications

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