Center for Communicable Disease Dynamics
The Center for Communicable Disease Dynamics works to improve methods for infectious disease modeling and statistical analysis, quantify disease and intervention impact, engage with policymakers to enhance decision-making, and train the next generation of scientists.
677 Huntington Avenue
Kresge Building, Suite 506
Boston, MA 02115
2025 Mathematical Modeling and Public Health Workshop
Materials & Resources
March 3-4, 2025 | The Inn at Longwood Medical, 342 Longwood Ave., Boston, MA 02115
Below are materials and resources from the workshop that we have received permission to share.
If reusing these materials, please ensure that they are appropriately cited.
- Lauren Ancel Meyers, PhD, Professor of Integrative Biology & Statistics and Data Science, University of Texas at Austin
Watch video recording (begins at 15:40)
- Kirstin Roster, PhD, Postdoctoral Research Fellow, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health
- Léa Cavalli, MSci, PhD student in Infectious Disease Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health
- Mui Pham, PhD, Postdoctoral Research Fellow, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health
- Ruchita Balasubramanian, MPhil, PhD student in Population Health Sciences- Infectious Disease Epidemiology, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health
- Mauricio Santillana, PhD, MSc, Professor of Physics, Professor of Electrical Engineering, Director of the Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE) at Northeastern University; Adjunct Professor of Epidemiology, Faculty at the Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health
- Raúl Garrido, PhD student in Physics, Network Science Institute, Northeastern University
Models of Infectious Disease Agent Study (MIDAS) is a global network of scientists and practitioners who develop and use computational, statistical, and mathematical models to improve understanding of infectious disease dynamics. Join for free.
MIDAS Trainee Network, a MIDAS subnetwork, connects students and post-docs in infectious disease modeling. The Network holds regular meetings to establish professional relationships, foster future collaborations, share educational resources, and provide a relaxed environment to share research progress and ideas. Join for free.
The Center for Communicable Disease Dynamics (CCDD) at Harvard Chan School. You can stay up to date on the latest research published by the Center, as well as virtual events including the ID Epi Spring Seminar Series. Join the CCDD email list for free.
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