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Claire Coffey

Cambridge PhD student in Health Data Science, HDR UK-Turing PhD programme

Claire Coffey is a dedicated professional who recently embarked on her Ph.D. journey in Health Data Science at the prestigious University of Cambridge, supported by a studentship from Health Data Research UK, The Alan Turing Institute, and the Wellcome Trust.

Specializing in the development of fair machine learning techniques, Claire's research endeavors revolve around the crucial intersection of health and climate change.

Her academic achievements include the completion of a MPhil in Advanced Computer Science at the University of Cambridge, where she was honored with the DeepMind Cambridge Scholarship for her exceptional work in exploring fairness and bias in machine learning.

With a rich academic background, Claire Coffey holds Bachelor's degrees in Computer Science with Study Abroad from esteemed institutions like the University of Waterloo, The University of British Columbia, and the University of Birmingham, where she graduated with First Class Honours.

Prior to her current academic pursuits, Claire gained valuable industry experience working as an AI Researcher & Developer at an artificial intelligence startup, concentrating on multi-objective optimisation for autonomous vehicles.

Furthermore, Claire Coffey has contributed her expertise as a Former Student Ambassador at the University of Birmingham, a member of the Big Run Project at The Active Wellbeing Society, and has also demonstrated her versatility in roles such as a Barista and Waitress at Maison Mayci.

Claire Coffey's passion for advancing technologies, coupled with her academic prowess and industry experience, positions her as an accomplished professional in the realms of Health Data Science, Machine Learning, and Artificial Intelligence.

Claire Coffey
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Location

Cambridge, England, United Kingdom