Michail Papathomas

Dr Michail Papathomas is a Senior Lecturer in Statistics at the School of Mathematics and Statistics, University of St Andrews. He is affiliated with the Centre for Research into Ecological & Environmental Modelling. His research focuses on Bayesian statistical methodology, mixture modeling, and applications in ecology, public health, and genomics. He has supervised PhD students including Chao Gao, Thu Nguyen, and Hanyu Wang. His work bridges theoretical developments with practical applications in areas like spatial capture-recapture techniques and antibiotic resistance epidemiology. Recent projects include analysis of multidrug-resistant infections in East Africa and chemical evolution studies of galaxies.

• Education: PhD in Statistics (inferred from academic role)

Research interests span Bayesian nonparametrics, Dirichlet process mixtures, and statistical methods for ecological and biomedical data. He collaborates internationally on projects addressing global health challenges and environmental monitoring. His publications often integrate advanced computational methods with real-world datasets.

Key research trends include: (1) Developing flexible statistical frameworks for complex ecological systems; (2) Addressing parameter identifiability in log-linear models; (3) Applying mixture models to genomic and epidemiological datasets.

• Grants: Received funding for a cancer research studentship from The Melville Trust, and Scottish Funding Council support for blockchain applications in irrigation governance.

Led development of spatial capture-recapture methodologies and contributed to tools for galaxy spectral analysis. Active in interdisciplinary collaborations across medicine, ecology, and astrophysics.