Overview
Cat P. Le received a B.S. degree Summa Cum Laude in Electrical and Computer Engineering from Rutgers University in 2016, an M.S. degree in Electrical Engineering from California Institute of Technology (Caltech) in 2017, and a Ph.D. degree in Machine Learning from Duke University in 2023. At Duke University, he worked on Task Affinity and Its Applications in Machine Learning under the guidance of Dr. Vahid Tarokh. He currently holds a Postdoctoral Research Associate position at Duke University.
His research interest includes image processing, computer vision, machine learning, with a focus on transfer learning, and neural architecture search. His awards and honors include the Matthew Leydt Award, John B. Smith Award, Nikola Tesla Scholar, Rutgers University Outstanding Engineering Scholar, E. M. Toomey Scholarship. He is a member of the Tau Beta Pi, Eta Kappa Nu honor societies.
His research interest includes image processing, computer vision, machine learning, with a focus on transfer learning, and neural architecture search. His awards and honors include the Matthew Leydt Award, John B. Smith Award, Nikola Tesla Scholar, Rutgers University Outstanding Engineering Scholar, E. M. Toomey Scholarship. He is a member of the Tau Beta Pi, Eta Kappa Nu honor societies.
Current Appointments & Affiliations
Postdoctoral Associate
Electrical and Computer Engineering,
Pratt School of Engineering