A new addition to the University of Virginia’s interdisciplinary Contagion Science program. Nicholas Landry is interested in understanding how complex network structure affects how diseases, information and ideology spread. He uses tools from network science, mathematical modeling, Bayesian inference and open software to explore these questions.

Nicholas earned his Ph.D. in applied mathematics from the University of Colorado Boulder in 2022 and his B.S. in mechanical engineering from the University of New Hampshire in 2014. In his previous career, he worked as an engineer at a manufacturing company in New Hampshire. Most recently, he was a postdoctoral research fellow at the Translational Global Infectious Disease Research Center (TGIR) in the Vermont Complex Systems Center at the University of Vermont.

This academic year, Landry will dive into data-driven modeling of social and epidemiological dynamics, combining theory, data and subject-matter expertise. Those efforts will include starting interdisciplinary collaborations on Grounds with colleagues in the Department of Biology, the Quantitative Collaborative, the School of Data Science and the Biocomplexity Institute.