Meet the folks behind the Michigan COVID-19 Tracker
Jon is an Associate Professor in the Department of Epidemiology and the Center for Social Epidemiology and Population Health at the University of Michigan. Dr. Zelner is an infectious disease epidemiologist whose research is focused on the intersection of social and biological mechanisms in spatiotemporal patterns of i nfectious disease transmission. His work covers a broad range of infections with a primary focus on respiratory infections including tuberculosis, influenza and COVID-19, as well as vaccine-preventible diseases and diarrheal disease.
Rob is a PhD candidate in the Statistics department at the University of Michigan. His current research focuses on developing novel Bayesian statistical methodology for problems in epidemiology, and creating tools to understand how modeling assumptions impact inference. He has also done research in survey methodology. He got his Master’s in Quantitative Methods in the Social Sciences from Columbia University and his BA in Physics from Bucknell University.
Dr. Paul Delamater is an Assistant Professor in the Department of Geography, a Faculty Fellow at the Carolina Population Center and Sheps Center for Health Services Research, and an Associate at the Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill. Dr. Delamater has particular interest in research relating to the spatial components of health care access and utilization, as well as disease modeling. He employs geographic information systems (GIS) and statistical/spatial analysis to better understand population health issues. His recent research has focused on understanding childhood vaccination, herd immunity, and vaccine-preventable diseases in the United States.
Ramya is a doctoral student in the department of Epidemiology at the University of Michigan. She received her Masters of Science in Global Health from Harvard University and her Bachelors of Science in interdisciplinary social sciences from Michigan State University. Her research focuses on social inequality and the spread of infectious disease both domestically and in the Global South. She utilizes spatial analyses, hierarchical modeling and mathematical models to advance our understanding of these complex processes.
Kelly is a doctoral student in the department of Epidemiology at the University of Michigan. She received her Masters of Public Health from the University of Michigan in epidemiology and her Bachelors of Science in Human Health and Quantitative Sciences from Emory University. She is interested in spatial epidemiology and infectious diseases.
Stephanie is a UI/UX designer. She is interested in making accessible designs so a diverse group of people can use the services and sites she creates. She received her Master of Science from the University of Michigan School of Information. Her portfolio site, choisteph.github.io, features some of the projects she has worked on.
Joey is a postdoctoral fellow in the Epidemiology department at the University of Michigan. Before joining Epibayes he completed his PhD in Statistics at UM. His thesis research developed novel methods for performing mediation and other mechanistic analyses with applications in neuroimaging and pharmacokinetic modeling. His first projects with Epibayes will involve modeling influenza transmission dynamics in order to better understand vaccine effectiveness and the risk of transmission from community and household contacts.
Krzysztof is a statistical epidemiologist who has experience working with large datasets from surveillance sources and medical trials. His research is on creating decision support tools for public health challenges by applying mathematical modeling, Bayesian inference, and modern data science techniques. Past projects addressed dengue fever control, spatial models of contraceptive access, and the comparative evaluation of new treatments in oncology. Dr. Sakrejda is currently a Senior Research Area Specialist in the Department of Epidemiology and the Center for Social Epidemiology and Population Health at the University of Michigan. His current research is focused on decision support tools for infectious diseases of public concern, including COVID-19.
Hannah is a doctoral student in Epidemiology at the University of Michigan School of Public Health. She received her Masters of Public Health in Hospital and Molecular Epidemiology from the University of Michigan School of Public Health and her Bachelors degree in Biology from Wesleyan University. Hannah completed a Council of State and Territorial Epidemiologists Applied Epidemiology Fellowship and worked at the Cook County Department of Public Health Communicable Diseases Unit for three years. Hannah is interested in in the intersections of infectious disease epidemiology and social determinants of health, and in communicable disease surveillance and public health practice.
Danielle Stone is an Epidemiology Doctoral Student. Danielle was the first student to graduate from the new MS program in Computational Epidemiology and Systems Modeling at the University of Michigan School of Public Health. Additionally, she also received her M.P.H. in Hospital and Molecular Epidemiology from UM and dual undergraduate degrees in Public Health and Human Biology with a minor in Chemistry from Utah State University. For her MPH she has previously done work on virulence factors within the Mycobacterium tuberculosis genome. Working on her MS, she conducted an initial exploratory analysis of NHANES data in effort to create a sexual network generator which could account for changes over the life course. She is passionate about bringing equity into health research, particularly in infectious disease systems and networks. In her free time, Danielle enjoys classical music, D&D, gaming, and pretty much anything else nerdy.
Dr. Malosh is an Assistant Research Scientist at the University of Michigan School of Public Health. He is currently leading studies of herd immunity resulting from influenza vaccination of household contacts. Additional research interests include respiratory virus epidemiology and prevention, vaccine uptake, and social determinants of infectious disease. He is currently working on studies of COVID-19 in the household and community settings, with a particular focus on non-pharmaceutical interventions.
Nina is a doctoral candidate in Epidemiology at the University of Michigan. She did her MPH in Global Health Epidemiology at the University of Michigan and her bachelors in Chemistry and Materials Engineering at Princeton University. Her dissertation research focuses on spatial transmission models infectious diseases, the impact of clustered non-vaccination on outbreak risk, and the evolution of vaccine hesitancy. She is passionate about science communication and seeks to make epidemiologic research accessible with her blog: knowyourvax.com