Salome is a new postdoctoral fellow who joined Jeff Imai-Eaton’s lab in September 2024. She is interested in using modern methods in causal inference to understand gender-based drivers of HIV acquisition and engagement in HIV treatment. Salome completed her PhD in epidemiology from McGill University where her research focused on the implications of intimate partner violence for HIV control in women, girls, and infants. Prior to her PhD, Salome worked…
Yunfei Li is a postdoctoral research fellow in the Department of Global Health and Population at Harvard T.H. Chan School of Public Health. Her research focuses on the development and application of advanced quantitative methods to inform decision-making and resource prioritization in public health, within three substantive areas: (I) Modeling patterns and trends in disease burden and disparities; (II) assessing the health effects, economic impacts, and cost-effectiveness of current and…
Tse Yang (T.Y.) Lim is a complex systems modeler who develops simulation models of public health problems to inform policy decision processes. His recent work has focused on substance use and the opioid crisis, as well as the COVID-19 pandemic. He received his PhD from the system dynamics group at the MIT Sloan School of Management, and was previously an ORISE Fellow at the US Food and Drug Administration. He…
In the pursuit of innovative solutions to some of the world’s most pressing health challenges, my research revolves around constructing advanced statistical models for predicting infection outbreaks. My PhD and post-doctoral research focused primarily on understanding the evolution of epidemic and pandemic viruses. Currently, these models are tailored to forecast Dengue outbreaks in tropical countries and Influenza outbreaks in the US. My work is not just theoretical; along with the…
Jason completed a Ph.D. in physics at Boston University. He then worked as a postdoc in mathematical biology at Harvard. Jason is developing models for understanding how to optimize surveillance for pathogens. He is also exploring digitally connected medical diagnostics data as a potential tool for informing public health strategies.
Dr. Binod Pant completed his PhD in Applied Mathematics at the University of Maryland, College Park (UMD), where his research focused on the intersection of mathematics and biology. His work involved utilizing mathematical theory, data analytics, and computational methods to gain insight into the transmission dynamics and control of emerging and re-emerging infectious diseases of public health importance. During the COVID-19 pandemic, Dr. Pant’s research addressed several critical areas, including…
Mui is a Postdoctoral Research Fellow in the Lipsitch lab and Grad lab, interested in understanding driving factors in explaining infection and antimicrobial resistance trends. Her research focuses on defining these trends for healthcare-associated pathogens using data from the US Veterans Health Administration and from the Alberta Health Services in Canada, and developing mathematical models to study the relationship between antibiotic use and resistance. Mui studied Mathematics at RWTH Aachen…
Domonique Reed received a PhD in Epidemiology from Columbia University. Domonique’s research primarily focuses on understanding the impact of interpersonal relationships on risk behaviors and engagement in HIV prevention services for adolescent girls and young women. Her dissertation research, titled “Moving Beyond the Individual: A Data-driven Approach to Assessing the Multi-level Determinants of HIV among Adolescent Girls and Young Women in Sub-Saharan Africa” was a multi-pronged study that applies novel…
Minttu Rönn is an infectious disease epidemiologist, and in her research she employs mathematical modeling to inform decision-making in the fields of reproductive health, sexually transmitted infections (STIs), and HIV. Minttu’s interests include transmission dynamics of infectious diseases, HIV-STI co-infections, and social determinants of health. Originally from Finland, Minttu earned her BSc in General Microbiology from the University of Helsinki. She then relocated to London, UK, to pursue studies in…
Kirstin is a postdoctoral fellow in the lab of Yonatan Grad, where she develops mathematical models to compare genomic surveillance strategies. She recently completed her PhD in Computational Mathematics at the University of São Paulo, where she applied machine learning and causal inference to study the spread of vector-borne diseases in Brazil. Prior to her PhD studies, Kirstin was a data scientist at the World Bank Group and has worked…
