Louis Aslett

Louis Aslett is a Professor in the Department of Mathematical Sciences at Durham University. His research focuses on the intersection of Statistics, Machine Learning, and Reliability Engineering, with particular emphasis on privacy-preserving statistical methods, Bayesian inference, and Monte Carlo simulation techniques. He actively contributes to applications in healthcare, including predictive modeling for hospital admissions and autoimmune disease analysis.

• Affiliation: Department of Mathematical Sciences, Durham University
• Research Centres: Statistics (Durham University)

His recent work includes developing safe predictive model updating frameworks and Monte Carlo methods for constrained imputation, often collaborating with medical researchers on ANCA-associated vasculitis studies. He has also created open-source tools like the kalis R package for ancestry inference.

Louis Aslett has authored 24 research outputs, spanning journals like Nature, The Lancet Rheumatology, and Reliability Engineering & System Safety, with a focus on statistical methods for complex systems and encrypted machine learning.