Joseph Jacob graduated as a doctor from Imperial College, London. After 2 years working for Medicines sans frontiers in Africa and India he trained as a radiologist at Kings College Hospital, London and Auckland City Hospital, New Zealand. He underwent sub-specialist training in chest radiology and completed an MD(Research) at Imperial College under Professor David Hansell at the Royal Brompton Hospital. His area of special interest is computer-based analysis of CT imaging in interstitial lung disease.
Joseph is working at UCL as a Wellcome Trust Clinical Research Career Development Fellow. His current interests are in the use of machine learning techniques to identify early interstitial lung disease appearances on CT and the characterization of phenotypes of progressive lung fibrosis. He has won several national and international awards for his work using computer analysis of CT imaging to evaluate interstitial lung disease including the Jack Westcott Award for the best presentation at the American Society of Thoracic Radiology 2016, the Ansell prizes from the Royal College of Radiologists in 2016 and 2017 and the Magna cum Laude prize from the European Society for Thoracic Imaging 2015. He was awarded the National Heart and Lung Institute prize for the best thesis of 2017. In addition to authoring book chapters he has authored over 12 papers in the past 18 months related to computer CT analysis. He has been invited to talk for consecutive years on machine learning at the Radiological Society of North America. Two of his papers were presented at the 2017 American Thoracic Society conference as being amongst the five most important imaging papers of 2016.