After an incredible learning journey over several years, my PhD is finally done! Thank you so much to Mario Wüthrich and Roseanne Harris for supervising, to Stephen Jurisich for all the encouragement and support and to all my wonderful coauthors for all of these papers!
Here is a brief summary taken from the thesis linked in the first comment:
The main theme of this research is to investigate how deep neural networks, originally developed outside of actuarial science, can be adapted to meet the specialized requirements of actuarial modelling. This goal has been accomplished by, on the one hand, adapting and modifying techniques used in the wider machine and deep learning literature for actuarial purposes, and, on the other hand, proposing new approaches that utilize the flexible structure of deep neural networks to produce new types of actuarial models. By using these deep learning techniques adapted for actuarial purposes, actuaries can comply with the requirements of professional standards and guidance while benefiting from the increased accuracy and speed of fitting these models, compared to traditional approaches.