Research Assistant Professor, Mathematics and Statistics
Julio Enrique Castrillon specializes in uncertainty quantification, machine and statistical learning, non-linear stochastic networks, (non-linear) stochastic partial differential equations, and anomaly detection. He is also interested in applications to protein interactions, power systems (electric grid), deforestation (remote sensing), and Alzheimer’s Disease.