Bio
Dr Tapabrata (Rohan) Chakraborty (FHEA, FIET) is a Theme Lead with the Turing-Roche strategic partnership and a Principal Research Fellow and Honorary Associate Professor with University College London. He is an invited expert on Responsible AI with Global Partnership on AI (GPAI) and an Associate Editor with Springer Nature Computer Science. Before joining Turing/UCL, Rohan was a postdoctoral researcher at University of Oxford, where he continues to be a non-stipendiary fellow of Linacre College. Rohan is based in Oxford and in his spare time, Rohan likes to go on hikes and nature walks.
Research interests
Rohan’s area of research focus is development of transparent and reliable AI for precision biomedicine and personalised healthcare, particularly leveraging multimodal data (imaging, clinicogenomics) for computational cancer. For transparent AI, Rohan is interested in advancing methods in domain inspired deep learning through fusion of data driven deep learning models with interpretable mechanistic models. For reliable AI, Rohan investigates personalised uncertainty quantification of predictive models through conformal analysis. He leads a team of early career researchers at Turing/UCL. Through his affiliation with GPAI, Rohan also contributes to developments in AI safety, policy and governance.