School of Computing
Member Between September 2021 - Present
Paul completed his BSCH in Mathematics from Queen’s University in 2019 and his MSc in Mathematics from Queen’s in 2020. He is passionate about understanding the mathematics behind machine learning and translating the theory to real-world outcomes. He is currently working on applying machine learning to detect prostate cancer from ultrasound data.
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound Inproceedings Forthcoming
In: Medical Image Computing and Computer Assisted Interventions (MICCAI 2022), Forthcoming.
Vision Transformers for Prostate Cancer Detection from Ultrasound Conference
20th Annual Symposium of the Imaging Network of Ontario (ImNO) 2022, 2022.