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Maxine is a data scientist in the EY UK Risk Analytics practice, with a particular focus on data and artificial intelligence (AI) risk.
Maxine works towards realising the importance of trustworthy and responsible AI, embedding trust, and harnessing the value of AI and data science in an ethical and responsible manner.
She started her career in the built environment industry, gaining experience in developing spatial analytics and computer vision capabilities for downstream applications in urban planning and engineering.
Maxine holds an MSc in Social Data Science from the University of Oxford and a BSc (Hons) in Information Management from University College London.
How Maxine is building a better working world
Maxine is passionate about utilising data and AI for social good. She has developed data-powered solutions for various applications, including projects related to disability and sustainability. One of her previous projects includes translating data into sound, sometimes in a musical context, which goes beyond traditional data visualisation by using sound as a medium for data storytelling.
Data sonification enables people with visual disabilities to understand data through auditory elements, enabling communicators to convey high dimensional data in a more engaging and efficient manner.
Maxine has been an advocate of responsible and ethical AI. With her background in computational social science and interest in sustainability, Maxine aims to use AI for social good.