Dr Jack Gisby
Machine Learning Scientist (KTP Associate) in Multimodal Data Integration
Email: j.gisby@qmul.ac.uk
Profile
Dr Jack Gisby is a Postdoctoral Research Associate working between Queen Mary University of London (QMUL) and AstraZeneca. He completed his PhD in computational biology at Imperial College London, where his thesis focused on characterising the molecular response to COVID-19. Following his PhD, Jack joined QMUL’s Digital Environment Research Institute (DERI) to develop computational methods for identifying drug repurposing opportunities using multi-omics data. His work focused on immune-mediated inflammatory diseases and trauma, collaborating with pharmaceutical and government partners, including BenevolentAI and the Defence Science and Technology Laboratory.
Jack now leads a joint initiative between Professor Slabaugh’s research group at DERI and the Quantitative Biology team at AstraZeneca as part of an Innovate UK Knowledge Transfer Partnership. His work explores how high-dimensional molecular and microscopic imaging data can be combined to accelerate small compound drug discovery. In this project, he is developing machine learning algorithms to integrate multi-modal data from perturbational screens, with the aim of matching compounds with targets, providing new ways to prioritise compounds for further investigation and identifying novel opportunities for drug repurposing.