PJ Lamberson

PJ Lamberson is an Associate Professor and Vice Chair in the Communication Department at UCLA. He holds a PhD in Mathematics from Columbia University and previously taught at MIT Sloan and the Kellogg School of Management. His research focuses on mathematical and computational modeling of social systems, with emphasis on networks, contagion, and collective intelligence. He has been recognized as a global expert in these fields, frequently consulting for organizations worldwide.

Education:

• PhD in Mathematics, Columbia University (2006)
• MPhil, MA in Mathematics, Columbia University (2005, 2003)
• B.A. in Mathematics, University of Chicago (2001), with Honors in the College and Honors in Mathematics

Research interests include:

• Network dynamics and diffusion processes
• Collective intelligence and forecasting
• Political communication and voter behavior
• Agent-based modeling of public health challenges

His work bridges disciplines, appearing in journals across mathematics, ecology, epidemiology, and management science.

Notable awards include the Best Paper from Journal of Social Computing Award (2021). He has secured over $1.7 million in NIH funding for research on team dynamics and network science. His lab collaborates extensively with interdisciplinary teams, addressing questions at the intersection of social systems and computational methods.