Everything from Formula E strategy models to Formula Student software and health data research. Filter by area to narrow it down.
A probabilistic model of on-track overtaking, built in Python and integrated into existing MATLAB-based race simulation code used for strategy work.
An analysis of when and why safety cars are deployed in Formula 1, with a Monte Carlo simulation that predicts the probability of a safety car at each race.
A computer vision tool that automatically detects tyres in the pit lane, built while working on tyre tracking and strategy analysis with JOTA's remote race support team.
Machine learning research predicting cardiovascular disease from sleep data, comparing six model families with permutation-based feature importance.
An AI application built in Python to reduce the number of transfers from long-term care homes to the emergency department.
An upgraded PLM system for team-wide adoption, with a React front end and Python server-side functionality.
MATLAB and Simulink test harnesses that validate all vehicle control systems and streamline the development process.
Sensor data analysis to optimise vehicle performance, plus a streamlined interface that gives other groups on the team access to analytical data.
A ten-year retention analysis of a cohort of volunteer community health workers in rural Uganda.