I am a PhD student at the Department of Mathematical Sciences, University of Bath and a member of the Numerical Analysis group and the Bath Imaging Group, under the supervision of Dr. Matthias J. Ehrhardt & Dr. Subhadip Mukherjee. I am interested in Numerical Optimisation, Machine Learning, Deep Learning, Inverse Problems, and Image Analysis. My current research lies in the field of "Bilevel Learning". In particular, I am working on gradient-based and derivative-free algorithms for Bilevel Learning, as well as considering Unrolled Approach and input-convex Neural Networks as the regulariser. The applications I consider now include undersampled MRI reconstruction; image denoising, deblurring and segmentation; and clustering.
- Gradient Free Training of Neural Networks (ADMM Approach) Mathematics of Deep Learning Reading course, October 2021- January 2022
- Stochastic Quasi Newton Methods vs Stochastic Gradient Large-scale Optimisation for Machine Learning Reading course, February 2022- June 2022
- Interdisciplinary Research Project Portfolios Design for Clinical Trials, October 2021- April 2022
- Master's Thesis "Linear and non-linear acceleration methods for alternating projections and Dykstra’s algorithm for projecting on an intersection of convex sets and an optimal transport problem", March 2021- August 2021