Unsupervised phenotyping and genetic discovery in 62,495 cardiac MRIs - Dr Craig Glastonbury, Human Technopole
Dr Craig A. Glastonbury holds a PhD in computational biology from King’s College London (2013-2017) where he focused on mapping tissue specific eQTLs in multiple human tissues. After his PhD, Craig worked as a Postdoctoral Fellow for 2 years in the lab of Cecilia Lindgren. Craig spent 4 years after his postdoc as a lead machine learning researcher at the drug discovery company, BenevolentAI (2019-2022), focusing on how to use human genetics for target discovery and ML methods for patient stratification. Craig’s research has focused on multiple aspects of computational biology, with a key focus on histopathology imaging using machine learning and human genetics. The Glastonbury Group at Human Technopole aims to combine these expertise, by studying how genetic variation influences quantifiable phenotypes extract from a whole range of biomedical imaging modalities. Craig serves on the organising committee of the International Common Disease Alliance (ICDA) and is a guest associate editor for machine learning at AHA Circulation.
Lived experience of those with chronic lung disease - Dr Jonathan Fuld, VPD-HLRI, Cambridge
Jonathan Fuld is Consultant Respiratory Physician based at Cambridge University Hospitals NHS Foundation Trust and the Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge. Since February 2024 he has been appointed National Clinical Director for Respiratory Disease and Chair of the Adult Specialised Respiratory Clinical Reference Group, NHS England. Jonathan has a clinical and research interest in exercise physiology, chronic obstructive pulmonary disease and access to services for those with chronic lung disease.
