Dr Tapabrata (Rohan) Chakraborty, Visiting Scientist, Digital Pathology AI and Radiomics Model Development (WP4)
Dr. Tapabrata (Rohan) Chakraborty is a postdoctoral researcher at the Oxford Big Data Institute in explainable deep learning models in medical image analysis. He holds the EPA Cephalosporin research fellowship for biomedical engineering at Linacre College, Oxford.
He co-leads the work on digital pathology and radiomics modelling with Prof. Jens Rittscher, looking into radiomics based joint analysis of lung radiology+histology data, for identification of new bio-markers and improved cancer screening.
Tapabrata is the Led Tutor in Information Engineering for the Department of Engineering Science, University of Oxford. He is also a Tutor at the Oxford EPSRC Doctoral Training Centre (CDT) in Health Data Science, where he teaches the modules in deep learning and medical image analysis.
He is an Associate Editor for the journal Springer Nature Computer Science and was recently elected Senior Member of IEEE. He is a consultant data scientist for the Responsible AI project of the Global Partnership on AI.
Before moving to Oxford, Tapabrata completed his PhD in Computer Science in New Zealand, and the project won the Diane Campbell Hunt Memorial Award (only 1 recipient per year). During his PhD studies, Tapabrata served part-time as a Data Scientist at High Performance Sport NZ, where he was the project lead for analysis of NZ sports data for medal likelihood prediction. Tapabrata also co-founded Geia Ltd, a B2B SaaS startup consultancy for NZ SMEs to increase their energy efficiency, and as Technical Director he won the Callaghan R&D Innovation Grant from the Govt. of NZ.
Dr Tapabrata (Rohan) Chakraborty works on Digital Pathology AI and Radiomics Model Development and Validation (DARTs Work Package 4).