M. Giselle Fernández-Godino

M. Giselle Fernández-Godino is a scientist in the Atmospheric, Earth, and Energy Science Division at Lawrence Livermore National Laboratory. Since the beginning of her appointment in 2020, her work has focused on the application of machine learning and uncertainty quantification approaches to the flow transport of hazardous materials and fusion energy design optimization.

Scale-bridging with Machine Learning to Characterize Brittle Damage and Failure
Color Image-driven Deep Autoencoders Predict Atmospheric Pollutant Patterns