Hailing from the ancient Asian city of Multan, Nasir Rajpoot is the GSK Professor of Computational Pathology at the University of Warwick, the founding Director of Tissue Image Analytics (TIA) Centre (previously the TIA lab) at Warwick since 2012 and the founding co-Director of the recently funded £15m PathLAKE centre of excellence on AI in pathology since Jan 2019. Prior to completing his PhD in Computer Science from Warwick in 2001, he was a Postgraduate Research Fellow in the Applied Math program (partially based at the School of Medicine) at Yale University (USA) during 1998-2000 and a Systems Engineering Fellow at PIEAS (Pakistan) during 1994-1996.

The focus of current research in TIA Centre led by Prof Rajpoot is on AI and machine learning algorithms for the study of histological and multi-omic markers of cancer biology, with applications to early detection of cancer and stratification of cancer patients in terms of recurrence, progression and response to therapy. Rajpoot has co-authored over 300 research publications on algorithms for computational pathology in leading journals and conferences. He has been active in the digital pathology community for almost two decades now. He has delivered over 100 invited and keynote talks since 2015 at various national and international events and institutions. He served as President of the European Congress on Digital Pathology (ECDP), which took place at Warwick in April 2019. He also co-chaired several meetings in the histology image analysis (HIMA) series since 2008 and served as a founding PC member of the SPIE Digital Pathology meeting since 2012. Previously, he served as the General Chair of the UK Medical Image Understanding and Analysis (MIUA) conference in 2010 and as the Technical Chair of the British Machine Vision Conference (BMVC) in 2007.

Rajpoot was recently awarded the Wolfson Fellowship by the UK Royal Society and the Turing Fellowship by the Alan Turing Institute, the UK's national data science institute.

He leads the team at Histofy, a recent spinout from the TIA Centre aimed at enabling accelerated and precise tissue assessment in both clinical and pharma workflows.