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About Me

Hi, my name is Danielle Belgrave. I am Trinidadian-born Machine learning researcher based in the UK for the past 20 years. Explore this website to find out more about my research.


My Research

I am a Machine Learning/ AI Researcher based at DeepMind, London, where I lead a team looking at understanding scientific discovery in health. Prior to joining DeepMind, I led a team in Microsoft Research Cambridge, UK looking at modelling strategies for using AI to personalise interventions in mental health. I have degree in business and statistics from the London School of Economics and a master’s degree in statistics from University College London. My PhD was at the University of Manchester in Machine Learning for Healthcare. I was supervised by Iain Buchan, Christopher Bishop and Adnan Custovic and supported by a Microsoft Research scholarship and a Dorothy Hodgkin postgraduate award. During this time, I also received the Barry Kay Award from the British Society of Allergy and Clinical Immunology (BSACI).

In 2015, I joined Imperial College London as faculty and I received the highly prestigious and competitive Medical Research Council Award in Biostatistics (4 years funding). During my time at Imperial, I developed statistical machine learning models to look at disease progression in an effort to design new management strategies and understand heterogeneity in asthma and allergic diseases.

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