I am currently a PhD student in the Machine Learning group at the University of Manchester. My research focuses on improving MRI data through deep learning, and incorporating geometric priors into deep learning models.
Previously, I received my masters of Medical Physics from the University of Sydney, and a Bachelors of Science (Honours) in Physics at the University of Warwick. I have experience working as a research software engineer at several research institutes.
Download my CV.
- Deep Learning
- Computer Vision
- Geometric Deep Learning
- Diffusion MRI
-
PhD in Computer Science, 2024
University of Manchester
-
Masters in Medical Physics, 2016
University of Sydney
-
BSc (Hons) in Physics, 2014
University of Warwick
Experience
- Designed and implemented data cleaning and preprocessing pipelines.
- Performed exploratory analysis on large time-series datasets.
- Lead tutorials on several machine learning courses.
- Graded assignments and exams for several machine learning courses.
- Developed, tested, and documented neuroimaging processing pipelines.
- Lead algorithm design and optimization workflows.
- Consulted on neuroimaging analysis techniques and signal processing.
- Developed, implemented, and led QC on neuroimaging analysis pipelines.
- Conducted exploratory data analyses.
- Built and managed a distributed computing cluster.
- Developed, tested, and documented neuroimaging processing pipelines.
- Oversaw data ingestion and QC/QA, created dashboard visualisations.
- Conducted clinical research using MRI data.
Publications
Machine Learning
TensorFlow, Keras, PyTorch, NumPy, pandas
Classification, Segmentation, Synthesis, Probabilistic Modelling, Unsupervised Learning
CNN, ResNet, UNet, ViT, GAN, Transformer, RNN, Autoencoder
