Dr Tom Searle joined King’s College London in 2018 to begin his doctoral research, investigating novel methods to understand and summarise the unstructured portion of routinely collected hospital data, i.e. from electronic health records. His doctoral research contributed significantly to the set of technologies known as ‘CogStack’. A set of loosely coupled technologies for collating, transforming and understanding the meaning behind the text in health care records at scale.

Dr Searle subsequently led an NHS AI Lab funded programme to deploy, mature and scale CogStack technologies across five NHS Trusts and broadly throughout NHS “fast-follower” Trusts.

He is an experienced software engineer / data scientists having spent eight years in industry before beginning his PhD.

Alongside his PhD, Tom holds an MSc in Computing specialising in Performance Modelling from Imperial College London, and a BSc in Computer Science from King’s College London.

Research interests

• Clinical Natural Language Processing
• Clinical Informatics
• Applied machine learning