Clarice Poon
From Wikipedia, the free encyclopedia
Clarice Poon is a British applied mathematician whose research lies "at the intersection of optimisation, imaging sciences, and machine learning", including research on compressed sensing and on instability in image reconstruction techniques that use deep learning.[1] She is a reader (associate professor) in the Mathematics Institute of the University of Warwick.[2]
After reading mathematics and computer science as an undergraduate student at the University of Oxford,[3] Poon became a student of Anders C. Hansen at the University of Cambridge. She completed her Ph.D. in 2015 with the dissertation Recovery Guarantees for Generalized and Sub-Nyquist Sampling Methods.[4]
She was a postdoctoral researcher at Paris Dauphine University and Cambridge, and a lecturer (assistant professor) position at the University of Bath.[5] She moved to the University of Warwick in 2019 as a reader.[2]
