Julio Enrique Castrillon-Candas

Julio Enrique Castrillon-Candas is a Research Assistant Professor at Boston University's Department of Mathematics and Statistics within the College of Arts & Sciences. He is a prominent member of the Probability and Statistics research group, focusing on computational mathematics and uncertainty quantification. His academic journey includes a Ph.D. in electrical engineering and computer science from MIT.

His research spans several interconnected fields including Uncertainty Quantification, Partial Differential Equations, Integral Equations, Fast Multi-Level Kriging for large spatial datasets, Fast Radial Basis Function Interpolation, and Machine Learning applications. His work bridges theoretical mathematics with practical computational approaches for solving complex problems in science and engineering.

Analysis of his recent publications reveals a strong focus on developing efficient computational methods for uncertainty quantification, particularly through multi-level approaches to spatial statistics and stochastic collocation methods for PDEs with random domains. His research demonstrates a consistent progression from foundational mathematical theory to practical implementations for large-scale problems.

Dr. Castrillon-Candas has secured significant funding including an NIH grant titled 'Stochastic Dynamic Modeling of Cellular Protein Interactions' (Award Number: 1R01GM131409-01, $323,280) and an NSF/DOE AMPS grant on 'Uncertainty Quantification for Stochastic Analysis of Electrical Power Networks' (Award Number: 1736392, $229,279).

He maintains an active research collaboration network with prominent academics including Raul Tempone (KAUST), Fabio Nobile (EPFL), Marc G. Genton (KAUST), and Rio Yokota (Tokyo Institute of Technology). His work has been presented at numerous invited talks at prestigious institutions including Harvard University, Tufts University, and MIT.