The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)

Welcome from Natalie

"Welcome to SISMID! I first attended this program as a graduate student and again as a postdoc, and it played a formative role in my career. It is an honor to now serve as Director and to help sustain this vitally important space for learning and connecting in infectious disease modeling and statistics. I hope you will join us this summer and be part of the SISMID community."

- From Dr. Natalie Dean

History of SISMID

Dr. Betz Halloran founded the Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) in 2009 and directed the program through 2023. SISMID introduces infectious disease researchers to modern methods of statistical analysis and mathematical modeling and introduces statisticians and mathematical modelers to the statistical and dynamic problems posed by modern infectious disease data.

Leadership Team

Natalie Dean, PhD

Director

Pia Valeriano, MBA

Program Manager

Ben Lopman, PhD

Associate Director

Katy Seib, MSPH

Program Specialist

Testimonials

Teaching in SISMID provides an opportunity to interact with students and instructors from different disciplines and different places.  The discussions in class offer new insights on infectious disease modeling to instructors and students alike.

Professor Lance Waller

Emory University, SISMID Instructor since 2012.

SISMID is an exceptional resource for students training in infectious disease dynamics, and I have come to rely on it as an essential part of my student's education. I have sent nearly every one of my students to SISIMID to receive training in advanced methods that are available nowhere else.

Professor Justin Lessler

University of North Carolina

During SISMID you get data that was once live data for an outbreak, and you can apply and adjust those models to see how academics and or practitioners would use them. That really solidifies skills sets because you take this very overarching theory and then you pick the pieces that are appropriate to use in an emerging situation.