Samuel Jenness, PhD
Assistant Professor // Department of Epidemiology
Rollins School of Public Health // Emory University
I am an infectious disease epidemiologist specializing in mathematical and computational approaches for investigating the transmission dynamics of HIV and other sexually transmitted infections, as well as prevention and treatment strategies to reduce the incidence of these infectious diseases. As an Assistant Professor in the Department of Epidemiology at the Rollins School of Public Health of Emory University, I lead the EpiModel Research Lab and collaborate on several active research studies in both methods and applied epidemiology.
Prior to my faculty appointment, I completed my PhD in Epidemiology at the University of Washington. After that, I briefly trained as a post-doctoral research fellow at the UW Center for Studies in Demography and Ecology, working on both mathematical modeling methods research and applications for HIV/STI epidemiology within high-risk populations in the US and internationally.
My broader research interests are at the intersection of applied HIV/STI epidemiology, methods and software development for modeling infectious disease tranmission dynamics, and network science. The types of scientific questions I am currently interested in are:
- What populations are most affected by HIV, STIs, and other infectious diseases?
- Where and how should we test the efficacy of emerging prevention tools for HIV/STI prevention?
- What are effective and efficient strategues to scale up these tools for maximum population-level impact?
- What epidemiological methods are best-suited to answering these questions, and if they don't exist, how do we build them?
My work involves addressing these questions with research in the following domains (or for the more visually oriented, a wordcloud generated from my recent research papers):
- HIV & STI epidemiology
- Mathematical modeling of infectious disease
- Social & sexual network analysis
- Causal inference methods for epidemiology
- Survey research design and analysis
- Computer science & computational epidemiology
First NIH funding as a PI was awarded for a new R21 study to collect a national sample of network-based data on MSM for local modeling of HIV/STI transmission dynamics and opportunities for prevention.
New paper published in PLoS One: Individual HIV Risk versus Population Impact of Risk Compensation after HIV Preexposure Prophylaxis Initiation among Men Who Have Sex with Men
Journal of Infectious Disease issue with HIV PrEP model was published in the December 15 issue, and featured artwork from our study on the cover of the issue!
Started a new affiliation with the Northwestern Center for Prevention Implementation Methodology (Ce-PIM) as an Early Stage Investigator, with funding to conduct network and implementation science research over the next 5 years.
New paper published in the Journal of Infectious Diseases: Impact of the Centers for Disease Control's HIV Preexposure Prophylaxis Guidelines for Men Who Have Sex With Men in the United States
New paper published in the journal Sexually Transmitted Infections: Effectiveness of combination packages for HIV-1 prevention in sub-Saharan Africa depends on partnership network structure: a mathematical modelling study
Our research group is actively recruiting for a post-doc in epidemiology to work on exciting HIV/STI modeling projects with me.