The COVID-19 pandemic has produced massive amounts of information that require an accurate analysis to predict outcomes and design solutions rapidly. It also has required experts from many different backgrounds to rally around in the quest for rapid responses in the race to save lives.
Many of the most prominent of these researchers are from Michigan, and a significant number of them are computational scientists who addressed questions such as: What measures should be taken to minimize contagion? Is it safe to ride a bus? How are supply and demand chains being affected?
This virtual symposium will bring together researchers from the state of Michigan to share their past and future insights into the pandemic.
This is a free Zoom event, open to the general public. Please register to attend.
University of Michigan President Mark S. Schlissel
“Researchers from the University of Michigan and around the state have used their expertise to inform our society’s pandemic response at the global, national, state and local levels. A critical aspect of this work has been the use of mathematical, computational and statistical models to guide decision-making and help us decide how to best confront this terrible virus. This symposium will allow us to learn about the amazing work that has been done to date to develop and apply computational models for COVID-19 response. “
Opening Remarks
F. DuBois Bowman
Dean, School of Public Health
Professor, Biostatistics
University of Michigan
Sessions and Speakers
Session 1 | A Year in Review: Lessons Learned and Best Practices
Even as the first smattering of cases were being reported from around the world, Michigan researchers shot to the forefront of collecting data and building models to aid decision making in the state, the U.S. and abroad.
Featured Speakers
 Bhramar MukherjeeBiostatistics University of Michigan |
 Jonathan ZelnerEpidemiology University of Michigan |
|
 Peter SongBiostatistics University of Michigan |
 Thomas SchwarzPhysics University of Michigan |
 Sabrina CorsettiPhysics, Mathematics University of Michigan |
 Andrew BrouwerEpidemiology University of Michigan |
Session 1 | A Year in Review: Lessons Learned and Best Practices
Even as the first smattering of cases were being reported from around the world, Michigan researchers shot to the forefront of collecting data and building models to aid decision making in the state, the U.S. and abroad.
Featured Speakers
Bhramar Mukherjee
Biostatistics
University of Michigan
Jonathan Zelner
Epidemiology
University of Michigan
Joe Eisenberg
Epidemiology
University of Michigan
Peter Song
Biostatistics
University of Michigan
Thomas Schwarz
Physics
University of Michigan
Sabrina Corsetti
Physics, Mathematics
University of Michigan
Andrew Brouwer
Epidemiology
University of Michigan
Session 2 | Moving into the Vaccine Era
Researchers are modeling the outcomes of vaccination strategies and their impacts on community-wide responses to the disease, including possibly permanent changes to certain aspects of daily life.
Featured Speakers
 Siqian ShenIndustrial and Operations Engineering University of Michigan |
 James KoopmanEpidemiology University of Michigan |
 Carl SimonMathematics, Complex Systems, Public Policy University of Michigan |
 Lisa ProsserPediatrics, Health Management and Policy University of Michigan |
 David HuttonHealth Management and Policy, Industrial and Operations Engineering University of Michigan |
Session 2 | Moving into the Vaccine Era
Researchers are modeling the outcomes of vaccination strategies and their impacts on community-wide responses to the disease, including possibly permanent changes to certain aspects of daily life.
Featured Speakers
Siqian Shen
Industrial and Operations Engineering
University of Michigan
James Koopman
Epidemiology
University of Michigan
Carl Simon
Mathematics, Complex Systems,
Public Policy
University of Michigan
Lisa Prosser
Pediatrics,
Health Management and Policy
University of Michigan
David Hutton
Health Management and Policy,
Industrial and Operations Engineering
University of Michigan
Session 3 | Modeling in a Campus Context
COVID-19 changed every aspect of our lives, and this was not different for higher education institutions. Modeling and simulation have been the backbone of a vast majority of the decision making and planning for campus activities.
Featured Speakers and Panelists
 Jesse CapecelatroMechanical Engineering University of Michigan |
 Amy CohnIndustrial and Operations Engineering University of Michigan |
 Gustavo de los CamposEpidemiology and Biostatistics Michigan State University |
 Marisa EisenbergEpidemiology, Mathematics, Complex Systems University of Michigan |
 Emily Martin (Moderator)Epidemiology University of Michigan |
 Seth GuikemaIndustrial and Operations Engineering, Civil and Environmental Engineering University of Michigan |
 Jade MitchellBiosystems and Agricultural Engineering Michigan State University |
 Jenna WiensComputer Science and Engineering University of Michigan |
 Luis ZamanComplex Systems, Ecology and Evolutionary Biology University of Michigan |
Session 3 | Modeling in a Campus Context
COVID-19 changed every aspect of our lives, and this was not different for higher education institutions. Modeling and simulation have been the backbone of a vast majority of the decision making and planning for campus activities.
Featured Speakers
Jesse Capecelatro
Mechanical Engineering
University of Michigan
Amy Cohn
Industrial and Operations Engineering
University of Michigan
Gustavo de los Campos
Epidemiology and Biostatistics
Michigan State University
Marisa Eisenberg
Epidemiology, Mathematics, Complex Systems
University of Michigan
Seth Guikema
Industrial and Operations Engineering,
Civil and Environmental Engineering
University of Michigan
Jade Mitchell
Biosystems and Agricultural Engineering
Michigan State University
Jenna Wiens
Computer Science and Engineering
University of Michigan
Luis Zaman
Complex Systems, Ecology and Evolutionary Biology
University of Michigan
Emily Martin (Moderator)
Epidemiology
University of Michigan
