Recording of Big Data Symposium – Utilising big data to tackle infectious disease & antimicrobial resistance

This was the final event in the Symposium series and showcased our projects using big data and machine learning to tackle infectious diseases and AMR challenges. The programme for the event was:

• Introduction to the Bloomsbury SET programme, Dr Emma Tomlinson, Chair of The Bloomsbury SET Steering Group and Head of Research Development, RVC
• Accelerating pandemic response through global data sharing, Dr Laura Merson, Associate Director, IDDO
• Characterising new promising transmission-blocking antimalarials through phenotypic imaging and machine learning analysis, Dr Michael Delves, Assistant Professor of Parasitology, LSHTM
• Machine learning for improved monitoring of antimicrobial resistance in companion animal practice, Professor David Brodbelt, Professor of Evidence Based Veterinary Medicine, RVC
• Building automated genomics data curation and collection pipeline, Dr Jody Phelan, Assistant Professor, LSHTM
• Safeguarding treatment outcomes for neglected tropical diseases, Dr Martin Walker, Lecturer in Epidemiology, RVC

Panel discussion – Chaired by Dr Gwen Knight, Associate Professor, London School of Hygiene and Tropical Medicine