Nabeel Seedat


Hi ๐Ÿ‘‹ I am a PhD student in Machine Learning at the University of Cambridge supervised by Prof. Mihaela van der Schaar. My research interests are data modality agnostic, focussing on: Data-Centric AI, Uncertainty Quantification, Synthetic Data & Trustworthy ML.

Since data is the fuel for ML, my research seeks to develop systematic data-centric approaches applicable across different data modalities including tabular, image & text — with the goal of making ML systems more reliable & trustworthy ๐Ÿฆพ, whilst also improving both model performance & training efficiency ๐Ÿš€. Most recently on LLMs!

I hold an Masters degree from Cornell University working on Bayesian Deep Learning, as well as a Masters from the University of the Witwatersrand (South Africa) working on Signal Processing & ML for Parkinson’s Disease. I also hold a dual-bachelors in Information Engineering & Biomedical Engineering from the University of the Witwatersrand (South Africa). Before starting my PhD I have spent time working on production ML systems as a Data Scientist focussed on Computer Vision at Shutterstock (USA) and an ML Engineer focussed on NLP at Multichoice (Africa’s largest multimedia company).

To reach out, please send an email to:

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Please find some of my publications below (a more up-to-date list can be found onย google scholar).

“*” denotes equal contribution.

Top ML/AI conferences

Journals, other conferences, pre-prints


Invited Talks