Steven Gilmour

Steven Gilmour is a Professor of Statistics at King's College London's Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds a BSc from Heriot-Watt University (1987) and a PhD from the University of Reading (1991). His career includes roles at Queen Mary University of London and the University of Southampton. Research focuses on experimental design, including response surface methodology, nonlinear models, and applications in healthcare and agrochemicals. Notable awards include the 2018 Lloyd S Nelson Award. His work spans over 90 peer-reviewed articles, emphasizing statistical rigor and interdisciplinary impact. Recent studies include AI's role in pandemic screening and optimal design for network experiments.

• Education:
  • BSc in Statistics, Heriot-Watt University, 1987
  • PhD in Applied Statistics, University of Reading, 1991
• Affiliations:
  • Professor of Statistics, King's College London (2016–present)
  • Professor of Statistics, University of Southampton (2010–2016)
• Key Research Themes:
  • Multi-stratum and optimal experimental designs
  • Nonlinear models and hybrid modeling
  • Applications in healthcare, pharmaceuticals, and agrochemicals
• Grants & Projects:
  • EPSRC-funded projects on optimal design and healthcare interventions
• Lab/Teams: Active in King's Statistics Group and collaborates with interdisciplinary teams in non-equilibrium science and urban data analytics.

His recent work challenges AI efficacy in pandemic screening and advances methodologies for complex experimental structures. Supervises doctoral research in design-based statistical modeling and multi-objective optimization.