Carlos brings extensive experience quantifying and analyzing the impacts of climate change at asset level, including work at Climate AI, Arable Labs, and the South Central Climate Science Center in collaboration with NOAA.
Dr Gaitan is an expert and author of multiple peer-reviewed documents on applying the principles of AI/machine learning to environmental science.
As Chief Climate Scientist at Climate AI, Carlos worked on the intersection of climate science and applied AI research to quantify and analyze the impacts of climate on individual assets. At Arable Labs, he served as VP Weather Forecasting and Head of Machine Learning and AI. Carlos architected and operationalized a Global Forecasting Engine. He refined local forecasts using a vast observational network of agricultural monitoring sensors, public data, and novel machine learning algorithms.
While serving as a research scientist at the South Central Climate Science Center Carlos originated novel research in the field of statistical downscaling in collaboration with NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL).
- Assessing climate risks for business operations
- Applying AI to identify climate impacts
- Visualizing climate risks for business leaders
Appointments, Awards, and Degrees
AMS Committee on Artificial Intelligence Applications to Environmental Science
Convolutional Neural Networks
Structuring Machine Learning Projects
University of British Columbia, PhD Atmospheric Science
Pontificia Universidad Javeriana, MS Hydro Systems
Pontificia Universidad Javeriana, BEng Civil Engineering