CV

Current Role

School of Geography, University of Leeds

Projects: AMR-Hub

School of Geography, University of Leeds

Projects: DUST

Disseminating cutting-edge research on the development of method for the real-time simulation of urban systems.
Developing a series of unit tests to verify reliable behaviour of agent-based models and data assimilation methods.

Sustrans / Alan Turing Institute

Data Study Group Project: Towards Equitable Walking and Cycling Infrastructure for All

Working with challenge owners to formulate academic questions based on industrial challenges.
Scoping challenge feasibility, assessing ethical implications and project sensitivity.
Overseeing challenge progress, offering guidance and ensuring scientific integrity.
Monitoring and finalising the production of reports for publication.

Institute for Transport Studies, University of Leeds

Projects: KARMA, TRACK

Developing agent-based models of commuter behaviour and mode shift.
Developing a framework for interfacing between different modelling paradigms, focussing on data flows between spatial micro-simulation models, agent-based models and system dynamics models.
Developing Python data pipelines for the processing of spatial data.
Reviewing literature on the integration of agent-based and system dynamics modelling approaches.
Disseminating research group work at workshops.

Buckinghamshire County Council / Connected Places Catapult

Fellowship Project: Mapping and Modelling Social Isolation

Developing a method for modelling all-age social isolation across Buckinghamshire using Geographically Weighted Regression.
Critically appraising the existing research from both academia and government.
Identifying the required internal and external datasets.
Developing dashboards to communicate findings with non-technical stakeholders and colleagues using the Dash framework in Python.
Managing stakeholder relationships and running stakeholder engagement events in conjunction with the Connected Places Catapult.

Leeds Institute for Data Analytics, University of Leeds

Ampere Analysis

Creating mechanisms to obtain and manage large and complex media-sector datasets using Python.
Developing innovative solutions to help visualise and solve live business challenges relating to content sales and acquisition, competitive analysis and business planning.
Supporting the wider team’s bespoke consulting work for high-profile film, TV and technology firms.

School of Mathematics, University of Leeds

Met Office

Working alongside observation scientists to answer some of the currently open questions regarding data quality from commercial aircraft.
Analysing large multivariate datasets using R.

Department of Aerospace Engineering, Cranfield University

Department of Physics, Imperial College London