Hi! I’m Harry
I am currently completing my MRes as part of the STOR-i Centre for Doctoral Training, based in Lancaster University’s Mathematics Department.
I completed my undergraduate Master’s degree in Physics, where I wrote my dissertation on the effects of anthropogenic climate change on clouds. I hope to take on a PhD project in Statistics with applications related to climate change.
My research interests lie in machine learning and its applications in data science, particularly in time series forecasting.
What I’m currently working on
Changepoint Detection Methods
A changepoint is a moment in a time series when the statistical properties of the data-generating process change. This project investigates detecting these in real time.
MCMC
Markov Chain Monte Carlo (MCMC) is a method for sampling from complex probability distributions using a Markov chain that converges to the target distribution.
Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) combines neural networks with reinforcement learning to optimize decision-making in complex environments.
Sentiment Analysis for Investment Allocation
Developing a sentiment analysis model for the Lancaster University Investment and Finance Society.
Prior Projects
Master’s Project
Anthropogenic aerosol emissions affect the albedo of clouds, increasing reflectivity and thereby exerting a negative forcing effect on global warming. This project aimed to quantify the onset and relaxation times of these effects for use as input parameters in climate models.
Travelling Salesman Problem
Explored subtour elimination constraints and TSP variants using STORM HPC to analyze dynamic formulations, with applications ranging from logistics to DNA sequence reconstruction.
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