Craig A. Glastonbury is a Researcher and Research Group Leader at Human Technopole (since 2022), leading the Glastonbury Group. He holds a PhD in computational biology from King’s College London (2013-2017) and previously served as a machine learning researcher at BenevolentAI (2019-2022) and Postdoctoral Fellow at the University of Oxford (2017-2019). His work focuses on integrating machine learning with genetic and imaging data to uncover disease mechanisms, particularly in histopathology and cardiovascular phenotypes. He currently advises BenevolentAI and serves as a guest associate editor for AHA Circulation. Research interests include computational biology, histopathology imaging, GWAS, and single-cell RNA-seq. The Glastonbury Group develops methods to extract phenotypic traits from imaging modalities like whole slide imaging (WSI) and links these to genetic data to study disease pathways. Current projects involve analyzing large-scale biobank data to identify genetic contributions to complex diseases such as inflammatory bowel disease and oncology. Group members include PhD students Francesco Cisternino, Giuditta Clerici, Emma Esther Didelon, and Emanuel Soda, along with postdoctoral researchers and bioinformaticians. The team actively recruits for positions in machine learning, phenotyping, and genetic discovery. Craig’s work emphasizes scalable pipelines for GWAS and unsupervised phenotype discovery, with applications in cardiovascular and metabolic research. Contact: craig.glastonbury@fht.org





