I am a research scientist at the National Center for Atmospheric Research (NCAR), working within the Cooperative Agreement To Analyze variabiLity, change and predictabilitY in the earth SysTem (CATALYST) group and Climate Change Research section of the Climate and Global Dynamics Laboratory (CGD).
My research interests are focused on the application of machine learning and deep learning methods to better understand and predict phenomena across weather and climate timescales. At NCAR, my research is conducted with a highly-collaborative team, consisting of early-career to senior scientists with expertise across a wide array of Earth system science areas. I have expertise in mesoscale meteorology, climate variability and change, and moisture attribution and sensitivity studies, using the Weather Research and Forecasting (WRF) model, the Community Earth System Model (CESM), the NOAA Air Resources Laboratory HYSPLIT model, and Python open source software.
I was born in Nicaragua and immigrated with my family to the United States when I was a one-year old. Before earning my PhD, I worked as a broadcast meteorologist in New York City and appeared on national cable news. Now, I live and work as a research scientist in the Boulder, Colorado area with my Maltese dog, named Cumulus.