About Me
I am a PhD student at Imperial College London and my research is mainly focused on using machine learning techniques for the extraction of clinical insights from in-home monitoring data. Within healthcare my work has mostly revolved around people living with Dementia.
My interests are in theoretical machine learning and building new techniques that are applicable to the world of healthcare.
My Interests
I am curious about all things ML and Maths, but specifically:
I have worked in the following areas:
- Meta-learning
- Continual learning
- Anomaly detection
- Learning from unreliable data
- Self-supervised learning
- Generative modeling
- The use of pretrained models in healthcare monitoring
CV
Education
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Imperial College London, 2021 — 2025
PhD, Machine learning applied to healthcare
Studying the use of machine learning techniques to improve Dementia care through the use of in-home sensors.
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Imperial College London, 2019 — 2020
MSc, Applied Mathematics
Machine Learning, Data Science, Computational Mathematics, Dynamic Systems, Asymptotic Analysis, General Relativity, Vortex Dynamics, Applied Complex Analysis.
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University College London, 2016 — 2019
BSc, Mathematics
Numerical Methods, Probability, Statistics, Mathematical Methods, Financial Mathematics, Algebra, Partial Differential Equations General Relativity, Measure Theory, Complex Analysis, Real Analysis, Fluid Mechanics.
Experience
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Imperial College London, London, 2022 — Current
Teaching Assistant for Machine Learning for Neuroscience
Prepare and present materials, instruct in labs, give tutorials on Pytorch, and mark coursework for the Machine Learning for Neuroscience course.
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London, 2019 — Current
GCSE and A Level Mathematics Tutor
Prepare materials and tutor in GCSE and A Level Mathematics.
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Investec, London, 2019 — 2020
Data and Analytics Graduate
Working as part of the data and analytics graduate program, gaining experience in the data science, analytics, machine learning and risk management teams.
Publications
Some of my key works are listed below:
Projects
The following are some projects I am working on:
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Machine Learning for Neuroscience Module
This is a module I am a assistant teacher for at Imperial College London for the MSc Computational Neuroscience. I also put the course website together, which is a work in progress!
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AML Python Package
Some of my Machine Learning code.
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AVT Python Package
Some of my graphing code, inspired by seaborn's API.
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SKU Python Package
Sci-kit Learn Utils add extra functionality to pipelines, and allow for more complex machine learning training and testing. It also includes some extra functionality for hyper-parameter optimisation.
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Dcarte-Transform Python Package
Dcarte-Transform package adds extra functionality to dcarte, an in-house python package designed for loading the UK DRI Minder data. Specifically Dcarte-Transform adds extra abilities for machine learning research. It also includes a feature engineering recipe for easy access to engineered features.
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PDUtils Python Package
Pandas Utils add extra functionality to DataFrames.