Team

Samuel Jenness, PhD

Samuel Jenness, PhD is an Assistant Professor in the Department of Epidemiology at the Rollins School of Public Health at Emory University. He is the Principal Investigator of the EpiModel Research Lab, funded by the National Institutes of Health and the Centers for Disease Control and Prevention. His research focuses on developing methods and software tools for modeling infectious diseases, with primary applications focused on understanding HIV and STI transmission in the United States and globally. He also works on epidemiological problems at the intersection of infectious diseases and network science, including measurement and quantification of dynamic social and genomic networks for HIV/STIs and tuberculosis. He received his PhD in Epidemiology at the University of Washington, prior to which he conducted applied prevention research at the health departments of New York City and Massachusetts.

Martina Morris, PhD

Dr. Martina Morris's primary contributions to science have been statistical methods for network analysis, with applications to the population dynamics of HIV transmission. For two decades, she has co-led (with Drs. Mark S. Handcock and Steven Goodreau), the NIH-funded team that developed the Exponential family Random Graph Models (ERGMs) framework for statistical network analysis. Their methods are designed to work with both sampled and census network data, and are published in a suite of open-source R packages under the statnet organization on CRAN and GitHub. Over the last decade, with Dr. Sam Jenness, they extended this foundation to develop a comprehensive, principled framework for stochastic modeling of epidemics on dynamic networks that is now implemented in the open-source software package EpiModel. Her current applied research projects focus on the application of these methods to local HIV prevention planning efforts. She is committed to the development of innovative statistical methodology that addresses critical needs in public health, to applications of these methods to support HIV prevention efforts, and to a transparent, reproducible science workflow, ensuring access to the methodology by creating open-source, user-friendly tools.

Steven M. Goodreau, PhD

Steven M. Goodreau, PhD is a Professor of Biological Anthropology and Adjunct Professor of Epidemiology at the University of Washington (UW). He received his PhD from Penn State in 2001, where his work focused on the intersections of population genetics, social network analysis and demography in the context of HIV evolution. He has been at UW since then, as an active member of the Statnet Development Team and co-lead of the Network Modeling Group. Among his administrative hats is Development Director for the Center for Studies in Demography and Ecology (CSDE), UW's NIH-funded population center. Dr. Goodreau's modeling work focuses primarily on the epidemiology of HIV among men who have sex with men, both domestically and internationally, with interests in both the origin of disparities and the likely impact of interventions. He maintains additional research foci on the evolution of HIV virulence, and on sexual health among adolescents more broadly.

Contributors

Also making important contributions to the EpiModel project are:

  • Emily Beylerian (University of Washington)
  • Skye Bender-deMoll (University of Washington)
  • Kevin Weiss (Emory University)
  • Shawnee Anderson (Emory University)