If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests


Sebastian is interested in:

  • Solving linear ill-posed inverse problems
  • Numerical linear algebra
  • Large scale optimisation
  • Machine learning approaches to inverse problems


Sebastian graduated from the University of Bath with a first class honors Masters of Mathematics. His masters dissertation, titled  "efficient priorconditioning for edge enhancement in imaging", involved the regularisation of discrete ill-posed linear inverse problems and employing Krylov subspace methods that adaptively define edge-enhancing encodings between iterates.

He is currently enrolled on the Integrated PhD Statistical Applied Mathematics, as part of the Statistical Applied Mathematics at Bath (SAMBa) EPSRC CDT. The topic of his PhD concerns how one may use machine learning approaches to solve inverse problems.

Education/Academic qualification

Master of Mathematics, Efficient priorconditioning for edge enhacement in imaging, University of Bath

Oct 2016Jul 2020

Award Date: 23 Jul 2020


  • Inverse Problems
  • Optimisation
  • Machine Learning
  • Numerical Linear Algebra


Dive into the research topics where Seb Scott is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles