Math Modeling Affinity Group
The Fred Hutch Math Modeling Affinity Group is headed by Josh Schiffer and Dobromir Dimitrov and focuses on using modeling to gain insights into infectious disease pathogenesis, immunology, epidemiology, cancer and ecology. Meetings consist of talks held once a month at Fred Hutch's Eastlake building. In addition, the group periodically hosts happy hours to bring the Seattle modeling community together.
Upcoming Seminars
Recent Seminars
Learning immunology from virtual patient cohorts and virtual clinical trials
Morgan Craig, PhD
Researcher, Sainte-Justine University Azrieli Research Center
Associate Professor, Université de Montréal
March 2025
Computational Model of Antibody Cross Reactivity in Influenza
Esteban Hernandez-Vargas, PhD
Assistant Professor
Department of Mathematics and Statistical Science
University of Idaho
February 2025
Designing Population Health Simulations with the Vivarium Framework:
Exploring Cardiovascular Disease Interventions Using GBD Estimates
Abraham D. Flaxman, PhD
Associate Professor
Institute of Health Metrics and Evaluation
University of Washington
January 2025
Integrating virological research into mathematical modelling: Predicting the impact of resistance to the novel antiretroviral drugs dolutegravir and cabotegravir
David van de Vijver, PharmD, PhD
Associate Professor, Viroscience Department
Erasmus Medical Center
October 2024
Machine learning and graph theory approaches for identifying rapidly expanding SARS-CoV-2 lineages using early genetic data
Ruian Ke, PhD
Staff Scientist
Theoretical Biology and Biophysics
Los Alamos National Laboratory
April 2024
A simple stochastic model for cell population dynamics in colonic crypts
Konstantinos Mamis, PhD
Acting Instructor
Department of Applied Mathematics
University of Washington
January 2024
Predicting dynamics of the tumor-immune ecosystem using computational modeling
Stacey D. Finley, PhD
Associate Professor
University of Southern California
October 2023
Likelihood Free Bayesian Estimation Applied to Microsimulation Model Calibration
Carolyn Rutter, PhD
Professor
Hutchinson Institute for Cancer Outcomes Research (HICOR)
Fred Hutch
May 2023
Equity-based optimization for resource allocation for COVID-19
Erin Stafford
PhD Student, Department of Applied Mathematics
University of Washington
April 2023
Modeling ARV kinetics and HIV dynamics in the lymph node
Ryan Zurakowski, PhD
Associate Professor
University of Delaware
January 2023
Harnessing Models to Predict Influenza-Mediated Acute Lung Injury
Amber M. Smith
Assistant Professor, University of Tennessee Health Science Center
Department of Pediatrics, Institute for the Study of Host-Pathogen Systems
March 2020
Successes and Failures of the Live-attenuated Influenza Vaccine: Can We Do Better?
Laura Matrajt
Research Associate
Fred Hutch
February 2020
Optimal evolutionary control for molecular phenotypes
Armita Nourmohammad
Assistant Professor of Physics, University of Washington
Max Planck Research Group Leader, MPI for Dynamics and Self-Organization
January 2020
Modeling the potential for HIV population-level adaptation in response to a vaccine
Joshua Herbeck, PhD
Department of Global Health
University of Washington
December 2019
Translational multiomics demonstrates longitudinal mechanisms of asthma pathogenesis
Matthew C. Altman, MD, MA
Center for Allergy and Inflammation
University of Washington Medicine
November 2019
Mathematical models of invasion and evolution in adenocarcinomas
Chay Paterson, PhD
Department of Mathematics
University of Washington
October 2019
Questions? Please email MMAG@fredhutch.org
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© 2025 Fred Hutchinson Cancer Center, a 501(c)(3) nonprofit organization.
© 2025 Fred Hutchinson Cancer Center, a 501(c)(3) nonprofit organization.