Jason Rader

Jason is a DPhil student at the University of Oxford in the EPSRC CDT Mathematics of Random Systems (a joint programme between the University of Oxford and Imperial College London).

His research interests lie in financial applications of deep learning and neural differential equations.

Jason is involved with the DataSıg programme through a common interest in the interaction between Rough Path theory and data science.