Posts by Collection

portfolio

publications

Robust Risk Minimization Using the Graphical Lasso

Published in ICONIP2017, 2017

Quantifying Influence in Financial Networks via Partial Correlation Network Inference

Published in ISPA2019, 2019

Partial correlation financial networks

Published in Journal of Applied Network Science, 2020

Construction of minimum spanning trees from financial returns using rank correlation

Published in Physica A: Statistical Mechanics and its Applications, 2020

Stability and similarity in financial networks — How do they change in times of turbulence?

Published in Physica A: Statistical Mechanics and its Applications, 2021

Analysis and Classification of Word Co-Occurrence Networks From Alzheimer’s Patients and Controls

Published in Frontiers in Computer Science, 2021

An investigation into the effects and effectiveness of correlation network filtration methods with financial returns

Published in Plos One, 2022

BNT162b2 COVID-19 vaccination uptake, safety, effectiveness and waning in children and young people aged 12–17 years in Scotland

Published in The Lancet Regional Health Europe, 2022

Vaccine effectiveness of two-dose BNT162b2 against symptomatic and severe COVID-19 among adolescents in Brazil and Scotland over time: a test-negative case-control study

Published in The Lancet Infectious Diseases, 2022

software

TopCorr

Published: May 23, 2020

TopCorr is a small Python library designed for the construction of filtered correlation matrices. It can be found on Github: here

talks

teaching

Smallpeice Aerospace Electronics Summer School

Summer School, University of Southampton, ECS, 2018

I designed 3x3 hour labs for the summer school, and then a challenge piecing it all together at the end. The 3 labs involved:

Getting data off a GPS chip
Using an accelerometer
Taking photos with the Raspberry Pi Camera
Tying all these together with a Raspberry Pi and Python

Modules Demonstrated

Undergraduate course, University of Southampton, ECS, 2019

I have demonstrated and marked labs in Algorithmics, Machine Learning, Java Programming, Computer Systems, Computational Finance and the Software Engineering Group project