CV

Fast Streamer, New Hospital Programme

Department of Health and Social Care

Leading analytical work to support prioritisation, assurance and decision-making across the New Hospital Programme.

• Led development of a programme-wide prioritisation tool using automated pipelines and R Shiny to support sequencing and funding decisions.
• Chaired regular sessions with Deputy Directors to test assumptions, trade-offs and limitations, ensuring outputs were decision-ready.
• Advised NHS Trusts and NHS England on business case evidence, demand modelling, costs and benefits.
• Developed analytical guidance to improve consistency and assurance of Outline Business Case submissions.
• Delivered rapid analysis for senior and ministerial decision-making, including maternity prioritisation and PAC-related assurance.

Fast Streamer, Air Quality and Industrial Emissions

Department for Environment, Food and Rural Affairs

Led analysis, statistics and uncertainty work across air quality policy, emissions modelling and international negotiations.

• Provided analytical evidence input to international air quality negotiations as the sole UK analytical representative.
• Led end-to-end production and publication of Accredited Official Statistics, including planning, QA and stakeholder engagement.
• Designed and led a programme of work on uncertainty quantification and communication for emissions modelling.
• Commissioned and quality assured contractor analysis, coordinating input from academic, departmental and international experts.
• Built reproducible analytical pipelines, dashboards and guidance to improve transparency, robustness and policy use.

UKRI Research Scholar

Heriot-Watt University

Research project on spatial scale, soil physical properties and uncertainty in flood modelling.

• Designed a research proposal examining how spatial scale and uncertainty in soil properties affect flood model outputs.
• Conducted laboratory and field work to support hydrological analysis.
• Led spatial statistical analysis in R, including data cleaning, imputation and uncertainty treatment.

Intern

Organisation for Economic Co-operation and Development

Supported policy-relevant research and international stakeholder engagement.

• Drafted analytical and policy content for international research outputs.
• Assessed data gaps and limitations in policy-facing analytical evidence.
• Supported delivery of an international policy conference.

Private Tutor

Quintessentially Education

Delivered mathematics and statistics tuition tailored to individual learning needs.

• Supported students to build confidence and understanding in mathematics and statistics.

NHS Estates Prioritisation Tool

A programme-wide analytical tool supporting sequencing and funding decisions for NHS estate investment.

• Built with R Shiny and automated analytical pipelines.
• Integrated multiple evidence sources into a transparent prioritisation framework.
• Designed for senior decision-makers, policy users and analytical assurance.

Air Quality Dashboard

Personal dashboard project exploring air quality data, trends and uncertainty communication.

• Planned as a public-facing portfolio project.
• Focused on accessible visualisation, reproducible analysis and clear communication of uncertainty.

Soil Spatial Scale and Uncertainty

Research project examining how spatial scale and uncertainty in soil properties influence flood modelling outputs.

• Applied spatial statistical analysis in R.
• Considered uncertainty propagation, model assumptions and scale effects.
• Combined field, laboratory and computational research methods.

Gaussian Process Emulation for Flood Models

Master’s dissertation project applying Gaussian Process emulation to flood modelling.

• Explored efficient approximation of computationally intensive flood models.
• Applied statistical modelling and uncertainty analysis.
• Focused on environmental modelling and decision-relevant uncertainty.

Tube App

Personal app project focused on London Underground information and user-centred transport data presentation.

• Applied data handling and interface design to a practical transport use case.
• Developed as a personal technical project.

Integrated Master’s

Mathematics and Statistics

• Statistical modelling
• Operational research
• Regression
• Time series
• Spatial statistics
• Uncertainty analysis
• Data science