معرفی
Juan Restrepo is a Joint Faculty Professor at the University of Tennessee, Knoxville, with a primary appointment in the Department of Mathematics within the College of Arts and Sciences. He also holds adjunct positions at Duke University and Oregon State University. As Section Head of Mathematics in Computation at Oak Ridge National Laboratory (ORNL), he leads research in data-driven methodologies, scientific computing, and uncertainty quantification. His expertise spans non-equilibrium statistical dynamics, data assimilation, and probabilistic methods in climate science and oceanography.
Education: Restrepo earned a PhD in Physics (1992) and MS in Engineering Acoustics (1987) from Pennsylvania State University, an Electrical Engineering degree (1985) from Columbia University, and a BS in Music (1983) from New York University.
Research Interests: He focuses on integrating data and physical models using AI, machine learning, and Bayesian techniques. Applications include climate dynamics, ocean transport, epidemics, and coastal resilience. His work bridges deterministic and stochastic systems, with contributions to high-performance computing and ensemble methods.
Grants & Awards: Notable grants include DOE funding for high-performance ensemble computing and interdisciplinary projects on climate resilience. Awards include APS and SIAM Fellowships, the SIAM Geosciences Career Prize, and a DOE Young Investigator Award.
Advising & Service: Restrepo has mentored numerous PhD and master’s students in applied mathematics, climate science, and computational methods. He actively promotes diversity in STEM, serving on committees for professional societies and leading initiatives at Oregon State University. His leadership roles include co-directing the Dynamics and Data Science Institute (D2SI).
