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Researcher on AI methods for image analysis, primarily on medical imaging data. Ten years of Python experience, Google accreditated AI developer.
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DEEP-PSMA
February 27, 2025 – August 6, 2025
Baseline Model and Support code for DEEP-PSMA Grand Challenge
View ProjectOptimizing-Response-Plans-to-Minimize-Recovery-Time-and-Ensure-Safety
December 2, 2024 – December 2, 2024
Optimizing-Response-Plans-to-Minimize-Recovery-Time-and-Ensure-Safety — GitHub repository
View ProjectDeepLearning-augmentation-on-MRI
February 19, 2023 – March 8, 2023
This project uses Variational Autoencoders (VAEs) to perform data augmentation on breast cancer MRI from the ISPY-2 clinical trial. We evaluate the augmentation by training U-Net segmentation models.
View Projectprostate-mpmri
November 10, 2021 – November 10, 2021
Tumour location model for prostate cancer
View ProjectBladderSeg
May 17, 2020 – May 17, 2020
Develop a deep learning model for segmenting the bladder on CT and get the activity from the PET.
View ProjectPyRegPipe
April 7, 2020 – January 25, 2023
The automatic registration framework using Python for 3D Slicer.
View Projectscriptedforms
July 6, 2017 – September 27, 2022
Quickly create live-update GUIs for Python packages using Markdown and simple HTML elements.
View ProjectCultural Fit Analysis
The candidate has a strong focus on personal projects, particularly in the medical imaging and deep learning domains. This indicates a self-driven individual with a passion for data science. However, without information on professional experience, education, or certifications, it's difficult to fully assess cultural fit beyond a strong technical interest. The projects are diverse within the data science realm, but there's no indication of broader team or organizational experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.