Sarah Bose, Laboratory Manager at the Tulane Center for Airborne Infection & Transmission Science (TUCAiTS) and Tulane National Primate Research Center, recently presented a poster at the Tulane AI Demystifying Symposium highlighting an ongoing internal research project: the AI-Driven Real-Time Airborne Transmission Index (Θ Engine).

This project focuses on Θ (Theta), a novel AI-driven transmissibility index designed to provide real-time, location-specific risk assessments for airborne pathogens. By integrating empirical data, synthetic outbreak simulations, and machine learning techniques, Θ models transmission dynamics across a range of environmental, behavioral, and biological scenarios.

As an MSPH student in Biostatistics, Sarah was selected to present on the application of AI in infectious disease modeling, aligning with the symposium’s goal of showcasing innovative AI applications in medicine and public health. This opportunity provides a prominent platform to highlight Tulane University’s cutting-edge research and foster collaboration with leading scientists worldwide.

Sarah’s selection reflects her dedication and the exceptional caliber of research being conducted at Tulane. We are proud to celebrate this achievement!