Alex Handy is a data scientist and senior research fellow at University College London's Institute of Health Informatics. He is currently leading Health Data Research UK’s National Text Analytics program, developing natural language processing tools to enhance the utilization of electronic health records for research and healthcare purposes. Alex has a keen interest in leveraging multi-omics and data science to enhance the detection and management of neuropsychiatric disorders. Prior to his current role, Alex has successfully executed technology and commercial strategy projects for renowned companies like PwC, Sky, and Google through MTM. With a rich educational background, Alex holds a Neuroscience MSc from King's College London with Distinction and a 1st class BA in History and Management from the University of Cambridge.