Teams at University of Edinburgh Information Services Group

Conduct research on AI risk, algorithmic assurance, and insurance. Develop mathematical, statistical, and computational methods to evaluate, price, monitor, and mitigate AI-related risks. Build reproducible code, simulations, benchmarks, and evaluation tools; publish findings; present at conferences and industry workshops; collaborate with academic and industry partners; and support workshops, reports, grant development, and stakeholder engagement.

Lead valuation reporting, statutory compliance, and data systems for the University fund Old College Capital; provide post-deal finance support for Technology Transfer including commercial financial analysis, royalty auditing, and risk evaluations; produce performance reporting and strategic financial insights while collaborating with Edinburgh Innovations and University Finance.

Conduct experimental research on how changing light conditions affect Antarctic diatom population growth and silica uptake. Investigate the biogeochemical consequences for silica cycling in the Southern Ocean, contribute to the Polar Dawn project, support the wider research team, guide PhD students, and develop national and international collaborations and publications.