CV
Current Position
I am a PhD student at the Leeds Institute for Data Analytics.
Employment
Ampere Analysis is a research and analytics firm, servicing the media and technology industries.
Whilst working there as part of the analytics team, my responsibilities included:
- Working with industry experts and data collection teams to build the Channels service, which tracks the carriage of channel brands for over 220 operators in more than 80 countries,
- Developing innovative solutions to help key clients to solve live business challenges relating to content sales and acquisition, competitive analysis and business planning,
- Creating sophisticated mechanisms to obtain and manage large and complex media-sector datasets.
Jun 2015 - Sep 2015: Aviations Observations Placement Student @ Met Office, Exeter
The Met Office routinely receives and processes automated meteorological observations from commercial aircraft.
Ongoing work includes the planning sensor network deployment, and devising instrument bias correction regimes.
My responsibilities were therefore to work alongside observation scientists to answer some of the currently open questions regarding data quality from commercial aircraft, by analysing large multivariable datasets.
Education
Sep 2017 - Sep 2021: Integrated PhD + MSc Data Analytics and Society @ LIDA CDT, University of Leeds
I have recently begun my PhD at the Leeds Institute for Data Analytics.
The focus of my project is the application of data assimilation methods, typically used in the field of numerical weather prediction, to agent-based models in the context of footfall around the city of Leeds.
The project is supervised by Nick Malleson, Jon Ward and Andy Evans, and is funded by the ESRC.
- PhD Thesis:
- MSc Thesis:
- Internship Project: Footfall at Kirkgate Market
- Electives:
- Big Data & Consumer Analytics (2018)
- MSc Project: Dynamics on Networks - Networks play an important role in many processes; for example, the structure of our social network affects the way in which a disease spreads, and ultimately the probability that we might become infected.
We can, therefore, think of diseases as dynamical processes that occur on networks.
The aim of this project was to investigate how to derive mathematical approximations for the time evolution of such processes, as well as the development of computer simulation based on the Gillespie algorithm that efficiently model the processes.
- Electives:
- Advanced Nonlinear Dynamics
- Statistical Computing
- Graph Algorithms & Complexity Theory
- Advanced Evolutionar Modelling
- Models & Sets
- Advanced Astrophysical Fluid Dynamics
- Advanced Geophysical Fluid Dynamics
Sep 2013 - Sep 2014: MSc Aerospace Dynamics @ Cranfield University
- MSc Project: Turbulent to Laminar Relaminarisation (Computational: C++) - The objective of this project was to find a turbulence model that would correctly capture the relaminarisation process, and to determine the relative roles of Reynolds number, Mach number, cooling rate, suction rate and pressure gradient.
- Electives:
- Modelling of Dynamical Systems
- Introduction to Computational Fluid Dynamics
- Applications of Computational Fluid Dynamics
- Viscous Flow
- Compressible Flow
- Introduction to Transonic Flow
- Launch and Re-Entry Aerodynamics
- Supercritical Aerofoil Design
- Degree Project: Membrane Stresses in the Earth (Computational: C++) - This project investigated the stresses induced in Lithographic membranes resulting from the movement of tectonic plates.
To carry this out, a computational approach was undertaken, modelling the Earth as a two-dimensional ellipse.
From this approach, we calculated stresses in the tectonic plates over the last 200 Ma.
- Final Year Electives:
- Computational Physics
- Dynamical Systems & Chaos
- Group Theory
- Hydrodynamics & Shocks
Jun 2010 - Aug 2010: BASI Level 2 Ski Instructing Qualification @ Warren Smith Ski Academy