Background

I did my undergraduate in Civil Engineering with emphasis Hydraulics and Hydrology at the Pontificia Universidad Javeriana in Bogota, Colombia. My thesis (honors) was about scour under bridges. In 2006, I enrolled in a master’s program in Hydrosystems, at the same university, where I studied paradigms of hydraulic sustainability as Ecohydrology and Hydroinformatics; then, I started my PhD in Atmospheric Science at the University of British Columbia, Canada, where I studied the (often ignored) stationarity assumption, common to all statistical downscaling studies.

My research involves the use of artificial intelligence/machine learning methods and their application in environmental sciences, with emphasis on extreme events. My affiliations include AGU, EGU, ASCE, SCI, IEEE, ICSH-STAHY, and the American Meteorological Society, where I am a member of the Artificial Intelligence Committee.

This year I directed a Master’s thesis in statistical downscaling in Colombia and I started working as a Post-Doctoral Associate for the University of Oklahoma, stationed at NOAA's GFDL.