Danielle Stone

Danielle Stone

PhD Student

University of Michigan Department of Epidemiology

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.

Interests
  • Dungeons and Dragons (all things roleplaying)
  • Video Games (particularly cRPG’s)
  • Movies (Star Trek, Star Wars, LOTR, Matrix, etc)
  • Pretty much anything else nerdy
Education
  • PhD Epidemiologic Sciences, 2022

    University of Michigan School of Public Health

  • MS Computational Epidemiology and Systems, 2022

    University of Michigan School of Public Health

  • MPH Hospital and Molecular Epidemiology, 2021

    University of Michigan School of Public Health

  • BS Human Biology, BS Public Health, 2018

    Utah State University

Hannah Steinberg

Hannah Steinberg

PhD Student

University of Michigan Department of Epidemiology

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.

Interests
  • Infectious disease dynamics
  • Social epidemiology
  • Public health practice
Education
  • MPH Hospital and Molecular Epidemiology, 2018

    University of Michigan School of Public Health

  • BA Biology, 2016

    Wesleyan University

Jon Zelner

Jon Zelner

Associate Professor

University of Michigan

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 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.

Kelly Broen

Kelly Broen

Doctoral Student

University of Michigan

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

Krzysztof Sakrejda

Krzysztof Sakrejda

Statistical Epidemiologist

University of Michigan

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.

Paul Delamater

Paul Delamater

Assistant Professor, UNC

University of North Carolina at Chapel Hill

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

Ramya Naraharisetti

Doctoral Student

University of Michigan

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

Rob Trangucci

PhD Candidate

University of Michigan

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.

Stephanie Choi

Stephanie Choi

UI/UX Designer

University of Michigan

Stephanie is a UI/UX designer and Front-End Engineer. 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