Tapabrata (Rohan) ChakrabortyPhD
Source: https://eng.ox.ac.uk/people/tapabrata-rohan-chakraborty Parent: https://eng.ox.ac.uk/people?c=r
COLLEGE: Linacre College, Christ Church College
LOCATION: Oxford Big Data Institute
Biography
Research
Publications
Biography
Dr. Tapabrata Rohan Chakraborty is a Fellow of Linacre College, University of Oxford. He is the Lead Tutor for Information Engineering (MEng B14 paper) with the Engineering Science Department and a College Lecturer in Computer Science with Christ Church, Oxford. He has also tutored for MEng papers in machine learning (B20), computer vision (C18) and deep learning (C19), as well as the CDT in Health Data Science. Earlier, he was a postdoctoral researcher in AI/ML at the Oxford Big Data Institute between 2019-2022. He is an Editor with Springer Nature Computer Science and Fellow of Higher Education Academy, UK (FHEA).
Rohan is a Theme Lead in Frontier AI Assurance at the Alan Turing Institute, London (UK’s national institute for AI), where he is the scientific lead for the AI workstreams of the UK-India Vision 2035 partnership. He is also a Principal Research Fellow in AI/ML and Honorary (Adjunct) Associate Professor in Engineering at University College London. Rohan leads the Transparent and Reliable AI Lab (TRAIL) shared between Turing and UCL. TRAIL develops “Multimodal AI Assurance” models that are transparent (domain inspired learning, concept learning) and reliable (causal inference, conformal prediction). On the method side, Rohan is working towards solving some of the open problems in explainable AI like leakage problem in concept bottleneck models, proximal vs distal causal inference, marginal vs personalised conformal prediction.
On the application side, Rohan works on grand challenges in multimodal digital health like combining visual computing (medical imaging) with natural language computing (clinicogenomics data). Recent papers from TRAIL have been published in leading journals like Nature, Nature Medicine, Nature Machine Intelligence as well as core technical outlets like CVPR, PMLR, JMLR, ACCV, BMVC.
Rohan often advocates for AI policy and governance that is safe, yet industry friendly. His work as an invited expert on Responsible AI with Global Partnership on AI (GPAI, part of OECD) got reflected in the EU AI Act. Recently, Rohan co-founded the Social Data Science Alliance to help businesses ensure that their AI tools are compliant to the Digital Services Act. TRAIL has strong industrial partnerships with funding from Roche Pharma and Google Health and Rohan’s Turing team won the Praxis Auril Award for public private knowledge exchange.
UCL profile Alan Turing Institute profile
Research Interests
- Frontier AI assurance and fairness with conformal uncertainty quantification.
- Transparent multimodal AI for precision biomedicine and personalised healthcare.
Research Groups
Biomedical Image Analysis Information Engineering Transparent and Reliable AI Lab (TRAIL)
Related Academics
Professor Jens Rittscher Professor Chris Holmes
Publications
News
[05 Mar 2026
Oxford Engineering students power Dark Blue varsity victories](/news/oxford-engineering-students-power-dark-blue-varsity-victories)
[04 Mar 2026
Study reveals unexpected long-term decline in energy use in small off-grid solar home systems](/news/study-reveals-unexpected-long-term-decline-in-energy-use-in-small-off-grid-solar-home-systems)
[02 Mar 2026
Engineering Alumnus Paul M. Hubel named the 2026 Edwin H. Land Medal Recipient](https://www.optica.org/get_involved/awards_and_honors/awards/award_winner_press_releases-2a8be47a26a5ec81e9523c90ea425bbc-156f3d3faaa7084e1bc156a90f05be89/2026_edwin_land_medal_winner/)
[27 Feb 2026
Reception at no. 11 Downing Street marks anniversary of Oxford-Cambridge Growth Corridor](/news/reception-at-no-11-downing-street-marks-anniversary-of-oxford-cambridge-growth-corridor)