Mauricio Santillana

Mauricio Santillana is a Physicist and Applied Mathematician specializing in mathematical predictive modeling in big data contexts within various fields like Healthcare, Public Health, Earth Sciences, and Finance.

He is passionate about using applied mathematics to tackle real-world big data challenges and is keen on bridging the gap between science and business innovation.

His technical skills include designing real-time event detection tools for patients in pediatric intensive care units, forecasting tools for estimating flu incidence using machine learning on large datasets of internet search patterns, and developing tools to predict the incidence of infectious diseases using climate variables.

Furthermore, his expertise extends to Mathematical Modeling in Earth Sciences and Geographic Information Sciences, such as simulating the chemical composition of the atmosphere, forecasting coastal floods from hurricanes, modeling weather systems, and predicting population patterns.

Mauricio possesses an intellectual zeal for comprehending and resolving real-life issues employing logic and mathematical reasoning. He excels at formulating small-scale prototypes that aid in understanding significant factors in vast real-life problems to act as decision-making support tools.

His commitment lies in grasping the broader perspective and effectively communicating complex technical concepts to diverse audiences with varying backgrounds, particularly in advanced mathematics, physics, and environmental topics.

Moreover, Mauricio has substantial experience in leading multidisciplinary teams dedicated to addressing problems crucial to environmental policy and decision-making entities.