Welcome from Ben and Natalie

"We are so thrilled to launch this new phase of SISMID at Emory University. As former students of SISMID, we recognize the importance of this program to the infectious disease research program. We are honored to assume the role of directors, so that SISMID can remain as a space for learning advanced analytical methods, and for building and preserving our community! We hope that you will join us in July 2024 and beyond."

- From Natalie and Ben

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

SISMID Leadership Team

Natalie Dean, PhD

Co-Director

SISMID Leadership Team

Pia Valeriano, MBA

Program Manager

SISMID Leadership Team

Ben Lopman, PhD

Co-Director

SISMID Leadership Team

April Zion, MPH

Communication 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.

Cameron Goetgeluck, MPH

Outbreak Analytics Fellow

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