Scholar
Nabeel Seedat
Google Scholar ID: nUZG1SEAAAAJ
University of Cambridge
Machine Learning
Uncertainty Quantification
Data-Centric AI
Large Language Models
AI for health
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Citations & Impact
All-time
Citations
732
H-index
15
i10-index
20
Publications
20
Co-authors
22
list available
Contact
No contact links provided.
Publications
7 items
Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
2026
Cited
0
What's the next frontier for Data-centric AI? Data Savvy Agents
2025
Cited
0
Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings
2025
Cited
0
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
2025
Cited
0
Towards Human-Guided, Data-Centric LLM Co-Pilots
2025
Cited
0
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
arXiv.org · 2024
Cited
0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
International Conference on Machine Learning · 2024
Cited
0
Resume (English only)
Co-authors
22 total
Mihaela van der Schaar
University of Cambridge, The Alan Turing Institute
Fergus Imrie
University of Oxford
Co-author 3
Boris van Breugel
Senior ML Researcher, Qualcomm AI Research
Vered Aharonson
University of the Witwatersrand, Johannesburg
Tennison Liu
University of Cambridge
Nicolás Astorga
University of Cambridge
Co-author 8
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