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 Workshop to Increase Diversity in Mathematical Modeling and Public Health:
Agenda
March 3-4, 2025 | The Inn at Longwood Medical, 342 Longwood Ave., Boston, MA 02115
The agenda will be updated regularly as details are finalized. View last year’s final agenda HERE.
Welcome & Opening Remarks by Yonatan Grad, MD, PhD, Professor of Immunology and Infectious Diseases, and Faculty at the Center for Communicable Disease Dynamics, Harvard Chan School
Keynote Speech
Lecture 1: Introduction to SIR Modeling by Kirstin Roster, PhD, Postdoctoral Research Fellow, Center for Communicable Disease Dynamics, Harvard Chan School
Breakout Session 1: Intro to SIR Modeling in R by Léa Cavalli & Beau Schaeffer, SM, both PhD students in Infectious Disease Epidemiology, Center for Communicable Disease Dynamics, Harvard Chan School
Lunch & Networking
Lecture 2- Antimicrobial Resistance by Marc Lipsitch, DPhil, Professor of Epidemiology, and Director of the Center for Communicable Disease Dynamics, Harvard Chan School
Breakout Session 2: Hospital Outbreak using Genomics
Science Communication Lecture by C. Brandon Ogbunu, PhD, Assistant Professor in the Department of Ecology and Evolutionary Biology at Yale University, and an External Professor at the Santa Fe Institute
Networking Dinner
Lecture 3- Infectious Disease and Climate Change by Caroline Buckee, PhD, Professor of Epidemiology, and Faculty at the Center for Communicable Disease Dynamics, Harvard Chan School
Breakout Session 3: Outbreak Scenario by Ruchita Balasubramanian, MPhil, PhD student in Population Health Sciences- Infectious Disease Epidemiology, Center for Communicable Disease Dynamics, Harvard Chan School
Lecture 4- Machine Learning & Novel Data Sources by 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 Chan School
Lunch & Networking
Breakout Session 4: Forecasting
Career Panel with speakers from industry, government and academia, moderated by Indra Gonzalez Ojeda, PhD student in Biophysics, Graduate School of Arts & Sciences, Center for Communicable Disease Dynamics Harvard Chan School
- Reese Sy, PhD, Director, Global Medical Epidemiology, Pfizer
- Lyn Finelli, PhD, Chief of Surveillance and Outbreak Response, Influenza Division, National Center for Immunization and Respiratory Diseases
- Caroline Buckee, PhD, Professor of Epidemiology, and Faculty at the Center for Communicable Disease Dynamics, Harvard Chan School
- Katherine Budeski, MS, MSc, PhD student in Population Health Sciences- Infectious Disease Epidemiology, Center for Communicable Disease Dynamics, Harvard Chan School
Networking Dinner