Policy & Impact
My research is designed from the outset to have real-world impact. I work closely with government departments, parliamentary bodies, and public institutions to ensure that data science and AI contribute to better, fairer, and more evidence-led policy decisions.
Parliamentary Engagement
I have given evidence or submitted research to four UK Parliamentary Select Committees:
- Transport Select Committee — The Future of Transport Data, oral evidence, January 2024
- Public Accounts Committee — Local Bus Services in England inquiry, written evidence, July 2025
- Built Environment Committee — New Towns: Practical Delivery, written evidence, May 2025
- Public Administration and Constitutional Affairs Committee — Transforming the UK’s Evidence Base, written evidence, August 2023
Government Department Collaborations
Department for Transport I have worked with the Department for Transport on projects related to transport accessibility and affordability, as well as on the broader use of data and AI.
10 Downing Street & Office for National Statistics As an ESRC No. 10 Data Science Fellow (2021–2023), I was embedded with the data science team at 10 Downing Street and the ONS Data Science Campus.
Natural England & DEFRA I am currently collaborating with Natural England and DEFRA on a funded research project (2025–2026).
Department for Digital, Culture, Media and Sport Developed novel methodology for generating early-warning indicators of the performance of museums and galleries sponsored by the Department, enabling more responsive and evidence-based funding decisions.
Selected Invited Policy Engagements
| Year | Event |
|---|---|
| 2024 | Transport for the South East strategy roundtable |
| 2023 | Transport AI Strategy Roundtable, Department for Transport |
| 2023 | Data Science in Transport Board (invited talk) |
| 2023 | UK Cost of Living & Equalities group (invited talk) |
| 2023 | ONS Data Science Campus (invited presentation) |
| 2023 | Cross-Government Group on Inequalities (invited presentation) |
Research Grants with Policy Partners
| Period | Partner | Focus |
|---|---|---|
| 2025–2026 | Natural England / DEFRA | Funded research project |
| 2024–2028 | LV= / Allianz Insurance | Funded research project |
| 2023 | Department for Transport | AI to detect EV chargers |
| 2021–2023 | ESRC / ADR UK | No. 10 Data Science Fellowship |
| 2020–2021 | InnovateUK / City Science | Urban data science |
| 2017 | Government Office for Science | Data science for government |
Working Together
If you work in government, a public body, or a policy-facing organisation and are interested in evidence-based research on transport, cities, data, or AI, I am very open to discussing potential collaborations. My experience spans the full spectrum — from quick consultations and written evidence to multi-year funded research partnerships.