My interests span research and industrial R&D in Optimisation, Machine Learning, Computer Vision, Imaging Inverse Problems, and Data Science. My work focuses on developing algorithms for learning hyperparameters, particularly in tasks modelled using variational regularisation approaches. These approaches are widely used in image reconstruction, image processing, machine vision, implicit neural network training, and data science. I hold an MRes in Statistical Applied Mathematics, where I worked under the supervision of Dr. Matthias Ehrhardt and Dr. Subhadip Mukherjee. Previously, I completed an MSc in Applied and Theoretical Mathematics at PSL Research University in Paris.
PhD studies in Statistical Applied Mathematics, October 2021– February 2025
University of Bath, UK
Master of Applied and Theoretical Mathematics, 2020– 2021
PSL Research University- Dauphine, Paris, France
Bachelor of Mathematics and Applications, 2016– 2020
University of Tehran, Iran