AI research scientist and software engineer with several years of experience in developing, training, and deploying machine learning systems. My research focuses on super-resolution in medical imaging data, and incorporating prior knowledge into models.
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Interests
- Deep Learning
- Computer Vision
- Geometric Deep Learning
- Generative Modelling
- Diffusion MRI
Education
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
Research Assistant
- Designed and implemented data cleaning and preprocessing pipelines.
- Performed exploratory analysis on large time-series datasets.
- Lead tutorials on several machine learning courses.
- Developed DL architectures for high dimensional genomic time-series data.
Research Software Engineer
- Developed, tested, and documented neuroimaging processing pipelines.
- Deployed deep learning models into production.
- Lead algorithm design and optimization workflows.
- Consulted on neuroimaging analysis techniques and signal processing.
Neuroimaging Analyst
- Developed, implemented, and led QC on neuroimaging analysis pipelines.
- Conducted exploratory data analyses.
Research Software Engineer
- 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
(2023).
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI.
In NeurIPS 2023.
(2022).
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder.
In MIDL 2022.
(2019).
Structural core of the executive control network: A high angular resolution diffusion MRI study.
In Human Brain Mapping.
(2019).
Profound and reproducible patterns of reduced regional gray matter characterize major depressive disorder.
In Translational Psychiatry.
(2019).
Is occipital bending a structural biomarker of risk for depression and sensitivity to treatment?.
In Journal of Clinical Neuroscience.
(2019).
Gender-specific structural abnormalities in major depressive disorder revealed by fixel-based analysis.
In NeuroImage: Clinical.
Machine Learning
Technologies
TensorFlow, Keras, PyTorch, NumPy, pandas
Tasks
Classification, Segmentation, Generative, Probabilistic Modelling, Unsupervised Learning
Models
CNN, ResNet, UNet, ViT, GAN, Transformer, RNN, Autoencoder, Diffusion
Projects
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