Julio Castrillon

DMS/NIGMS 1: Multilevel stochastic orthogonal subspace transformations for robust machine learning with applications to biomedical data and Alzheimer’s disease subtyping

Late-onset Alzheimer’s Disease (AD) is the most common form of dementia, with an estimated 6.5 million Americans aged 65 and older living with AD today – this number will double by 2050. AD occurs in more than 35% of individuals over the age of 85 and is the fifth leading cause of death among Americans […]

AMPS: Uncertainty Quantification for Stochastic Analysis of Electrical Power Networks

The reliable functioning of the electric power grid forms a critical part of a modern industrial country. The failure to maintain the reliability of the grid leads to significant societal, national security problems and environmental costs. With the ever-increasing use of intermittent power sources such as wind, solar, battery, along with new types of disruptions […]