On short-term prediction and ambulance scheduling algorithms:

In this talk, Eliot —now a researcher in the U.S.— shares a compelling blend of applied mathematics, data science, and optimization to address a vital urban challenge: efficiently managing ambulances and emergency call centers.

Drawing from his doctoral work in Operations Research and real-world experience with the New York City Fire Department, Eliot presents innovative approaches to:

• Predict real-time 911 call volumes,
• Dynamically staff call centers,
• Optimize ambulance deployment in complex city environments.

Using statistical models, simulations, and mathematical programming, this talk demonstrates how science, when precisely applied, can directly contribute to saving lives.