Scholar
Tapabrata Rohan Chakraborty
Google Scholar ID: ZIBre_IAAAAJ
University of Oxford
Citations & Impact
Citations
862
H-index
14
i10-index
17
Publications
20
Co-authors
13
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications in leading journals including Nature, Nature Medicine, and Nature Machine Intelligence
- Research presented at top venues such as CVPR, PMLR, JMLR, ACCV, and BMVC
- Contributed as an invited expert on Responsible AI to the Global Partnership on AI (GPAI), influencing the EU AI Act
- Co-founded the Social Data Science Alliance to support AI compliance with the Digital Services Act
- Turing team awarded the Praxis Auril Award for public-private knowledge exchange
Research Experience
- Postdoctoral researcher in AI/ML at the Oxford Big Data Institute (2019–2022)
- Theme Lead in Frontier AI Assurance at the Alan Turing Institute
- Scientific lead for AI workstreams in the UK-India Vision 2035 partnership
- Principal Research Fellow in AI/ML and Honorary Associate Professor in Engineering at University College London (UCL)
- Leads the Transparent and Reliable AI Lab (TRAIL), jointly hosted by Turing and UCL
- TRAIL has strong industrial partnerships with Roche Pharma and Google Health
Background
- Research Fellow at Linacre College, University of Oxford; Lecturer in Computer Science at Christ Church College
- Lead Tutor for Information Engineering (MEng B14 paper) in the Department of Engineering Science
- Previously tutored MEng courses in machine learning (B20), computer vision (C18), and deep learning (C19)
- Tutor for the CDT in Health Data Science
- Fellow of the Higher Education Academy, UK (FHEA)
- Editor for Springer Nature Computer Science
- Research focuses on explainable AI, multimodal AI assurance, causal inference, and conformal prediction
- Works on integrating visual computing (medical imaging) with natural language processing (clinicogenomics) for digital health challenges
- Advocates for AI governance that is both safe and industry-friendly
