Benjamin Isaac Wilson
- Email: scbiw@leeds.ac.uk
- Thesis title: Transfer learning and transferrable models in Digital Pathology for Gastrointestinal Cancers
Profile
Wilson is currently a PhD student on the CDT in Artificial Intelligence for Medical Diagnosis and Care. Wilson graduated in 2018 with a BSc in Computing. Since then, he has worked both as a software developer and data scientist starting out in financial technology then moving into research as a Data Scientist and Research Assistant at the Leeds Institute for Data Analytics(LIDA). During his time at LIDA, Wilson has been involved in several research areas prior to starting his CDT program, including population modelling, forecasting and simulation, working with members of the ITRC as well as Research Software Engineers at The Alan Turing Institute to produce novel systems for population forecasting.
Following this, Wilson is now working on his PhD, focussing on transfer learning for AI models in histopathology with the goal of investigating the possibility of model generalisation across multiple clinical institutions around the world.
Research interests
Wilson’s research interests include;
- Generative Models such as Generative Adversarial Networks(GANs) and Variational Auto Encoders(VAE) for learning Disentangled Representations.
- Transfer Learning and Model Retraining.
- Quality Control in Histopathology imaging.
- Cancer Diagnostics
Qualifications
- BSc Computing