Ben Adcock

Areas of interest

My main interests are in mathematical data science, numerical analysis and approximation theory. I investigate the theory and practice of recovering of objects (images, signals, functions, etc) from data. I pursue applications in diverse areas, including image and signal processing, uncertainty quantification and the numerical solution of (parametric) PDEs. One area of focus has been the development, analysis and implementation of sparse regularization techniques for such problems, along with their associated compressed sensing theory. My recent interests include the development and analysis of machine learning techniques - in particular, deep neural networks and deep learning - for scientific computing applications. I also have ongoing interests in applied and computational harmonic analysis, sampling theory and spectral/high-order numerical methods.

Education

• Ph.D. Mathematics · University of Cambridge · 2010