Jon Zelner

Assistant Professor

University of Michigan

About Jon

Jon is an Assistant 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 infectious 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. More information is available at jonzelner.net.

Joey Dickens

Postdoctoral Fellow

University of Michigan Department of Epidemiology

About Joey

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.

Education

PhD Statistics, 2014
University of Michigan
BA Mathematics, 2014
St. Olaf College

Kelly Broen

Doctoral Student

University of Michigan

About Kelly

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.

Interests

Spatial Epidemiology
Transmission Modeling
Infectious Diseases

Education

BS Human Health and Quantitative Sciences, 2017
Emory University
MPH Epidemiology, 2019
University of Michigan

Nina Masters

PhD Candidate

University of Michigan Department of Epidemiology

About Nina

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.

Interests

Vaccine Policy
Spatial Epidemiology
Infectious Disease Dynamics

Education

AB Chemistry and Materials Engineering, 2014
Princeton University
MPH Global Health Epidemiology, 2018
University of Michigan

Paul Delamater

Assistant Professor, UNC

University of North Carolina at Chapel Hill

About Paul

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 Naraharisetti

Doctoral Student

University of Michigan

About Ramya

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.

Rob Trangucci

PhD Candidate

University of Michigan

About Rob

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.

Ryan Malosh

Assistant Research Scientist

University of Michigan School of Public Health

About Ryan

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.

Education

MPH, 2009
Boston University
PhD, 2015
University of Michigan

Stephanie Choi

UI/UX designer

University of Michigan

About Stephanie

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, features some of the projects she has worked on.

Interests

Equitable Design
Design Justice

Education

MS Information, 2020
University of Michigan
BA English Language and Literature, 2016
University of Michigan

Akshada Shinde

Masters Student

University of Michigan Department of Biomedical Engineering

About Akshada

Akshada’s current research focuses on modeling the spread of infectious diseases, simulating interventions and studying the effectiveness of these interventions on community based spread of diseases. Using these studies, Akshada plans on strengthening the simulation-based decision making support system.

Interests

Simulation based decision making support system

Education

MS Biomedical Engineering
University of Michigan
BS Instrumentation and Control Engineering
University of Pune

Alex Cao

Data Scientist

University of Michigan

About Alex

Alex is a data scientist at the University of Michigan with CSCAR (Consulting for Statistics, Computing & Analytics Research). He helps researchers with their data science problems and teaches people about data science via workshops. He used to do research with surgical robots and NASA but now he makes predictive models and interactive data visualizations.