Physicist and Applied Mathematician with expertise in mathematical predictive modeling in big data environments in disciplines such as: Healthcare, Public Health, Earth Sciences, and Finance.

INTERESTS:
• Using applied mathematics to solve real-life big data challenges.
• Bridging the gaps between science and business innovation.

TECHNICAL SKILLS:
• Design of real-time event detection tools for patients in pediatric intensive care units,
• Design of forecasting tools to estimate flu incidence using machine learning approaches on big data sets of internet search patterns,
• Design of forecasting tools to estimate the incidence of infectious diseases using climate variables,
• Mathematical Modeling in Earth Sciences and Geographic Information Sciences (ex. simulation of the chemical composition of the atmosphere, coastal floods due to hurricanes, weather systems modeling, population patterns forecast)