Kevin completed his PhD within the UCL Center for Doctoral Training (UCL) in Data Intensive Science (DIS) funded by the Royal Society on the NUMI Off-axis $\nu_e$ Appearance (NOvA) and NOvA Testbeam experiments. The research mainly focussed on the robustness improvement of the convolutional neural networks employed in these experiments for the purposes of reconstruction and classification of neutrino events, in the presence of systematic uncertainties through domain adaptation techniques.

Kevin is part of the Learned Exascale Computational Imaging (LEXCI) project working on a variety of topics, including artificial intelligence and inverse problems on the spherical domain.