Mark Fothergill

Hi, I’m Mark.

I’ve moved out to San Francisco to work at a tech start-up.

Before that I was Head of Research at UPP, a student accommodation provider with 35,000 beds. I joined after my research at a leading British education think tank1 made national news in the FT2 and The Guardian3.

At UPP I built AI automations, sentiment analysis of reviews and dashboards tracking competitor behaviour.

Previously I worked as a business consultant at Baker Tilly, implementing multinational ERP projects.

My interests include geospatial analysis and AI, with recent projects including Optimal London Living, Confident Planner and Wayfinder.

XGitHubLinkedInmarkhfothergill@gmail.com

Sources (3)
  1. Nick Hillman & Mark Fothergill, “The true cost of the Government’s proposed levy on international students”, Higher Education Policy Institute, 8 August 2025. Estimated the levy would cost English universities £621m a year. ↩
  2. Financial Times, August 2025. ↩
  3. “International student levy could cost English universities £600m a year”, The Guardian, 8 August 2025. ↩

Things I’ve built

Machine learning / 2nd place, House London #1 hackathon / Built in a day

Confident Planner

939,310 London planning applications, 2016–26

A logistic-regression model trained on the London Planning Datahub that estimates how likely a planning application is to be approved at a given location. Developers get more investment certainty; councillors can see where potential homes are being held back.

  • Filter

    By application type, ward population density, flood risk zone and year.

  • Two models

    Historical approval share, or a logistic-regression model trained on 2022–26 decisions.

  • Map approval

    Every area shaded by approval rate, from under 25% to over 83%.

Try it →

AI agents / Gemini / OpenStreetMap / Street View

Wayfinder

5 hours to build, at a hackathon

A conversational relocation assistant for London. Describe the neighbourhood you want and Gemini drives a live map, layering in real OpenStreetMap data and reading Street View images to judge how a street actually feels.

Read the write-up →

Contact me

markhfothergill@gmail.com