My previous postdoc was in Morrislab, supervised by Quaid Morris. Before I came to Toronto, I completed my PhD with Amos Storkey in his research group at Edinburgh University. Our work focused on resource efficient machine learning and can be found in this list.
Postdoctoral Fellow, Morrislab, University of Toronto - 2019 to 2021
Supervised by Quaid Morris, worked on novel methods for inferring structured discrete latent variables for application in subclonal inference.
PhD Neuroinformatics, Edinburgh University - 2014 to 2019
Supervised by Amos Storkey and D K Arvind, as part of the Bayeswatch group, my project focused on resource efficiency and architecture search in machine learning. Publications completed during the PhD are:
- "Moonshine: Distilling with Cheap Convolutions" at NIPS 2018
- "Resource-Efficient Feature Gathering at Test Time", accepted at Reliable Machine Learning in the Wild, NIPS 2016.
In the process of my PhD I replicated the work of other papers in the field, such as "Variational Dropout and the Local Reparameterization Trick", "Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization" and "The Shattered Gradients Problem". A more complete list can be found here and my GitHub profile is here. I've also posted reviews of papers on Short Science.
I'm proficient in: Python, C, Verilog, Matlab, Tensorflow, Theano, PyTorch, Lasagne, Bash scripting and Linux.
I developed a dockerised JupyterHub deployment for the Data, Design and Society course to provide students with a fully configured web coding environment.
I competed in the AES Seizure Prediction Challenge (16th/504) and the National Data Science Bowl (57th/1049) in the team Neuroglycerin. The code written for both competitions is available: hail-seizure and neukrill-net.
MRes Neuroinformatics, Edinburgh University - 2013 to 2014
This programme was designed as a precursor to a three year PhD project at the Doctoral Training Centre in Neuroinformatics and Computational Neuroscience, providing background in neuroscience and machine learning.
Master's Project - "Weighting Protein-Protein Interaction Networks"
MEng Electrical Engineering and Electronics, Edinburgh University - 2008 to 2013
Graduated in 2013 - First class with honours.