Advancing stochastic decision models for healthcare systems
About
The Otero Stochastic Systems Lab develops stochastic models, optimization methods, and data-driven decision frameworks for systems operating under uncertainty. Our research combines operations research, machine learning, dynamic decision-making, and probabilistic modeling to improve healthcare systems, patient outcomes, disease prevention, and healthcare operations.
