Habib Ganjgahi

Habib Ganjgahi is a Senior Researcher in Biostatistics focusing on Statistical Machine Learning and Image Analysis. He holds joint affiliations with the Medical Research Council (MRC) at Harwell and the University of Oxford's Department of Statistics. He obtained his PhD in Statistics from the University of Warwick, specializing in statistical methods for genetic analysis of neuroimaging data.

His research centers on:

• Developing computational statistics and machine learning methods for heterogeneous big datasets
• Creating multivariate statistical models for the International Mouse Phenotyping Consortium (IMPC)
• Building predictive models for brain imaging data using UK Biobank resources, integrating genomic and environmental factors

His recent publications (15 most recent) demonstrate strong emphasis on multiple sclerosis reclassification via AI, Bayesian modeling for clinical trials, MRI harmonization techniques, and genetic epidemiology of obesity. Work consistently features advanced statistical methodologies applied to neuroimaging and large-scale biomedical datasets, with notable focus on longitudinal analysis and disease progression modeling.

No scientific awards, student advising, or grant information is documented in available sources.