Elsevier Data Analytics Award, UC Berkeley - Information Management
Sarah is an Engineer & Data Scientist working at the intersection of advanced analytics and emerging technologies. Having grown up with a passion for solving problems, Sarah attended the University of Cambridge on an IMechE Scholarship before graduating with a First Class master's degree in Manufacturing Engineering. She worked at McLaren Applied Technologies implementing novel machine learning techniques from Formula 1 into industries like healthcare and energy. Realising the power of these technologies worldwide, Sarah co-founded two start-ups exploring applications within digital media and blockchain infrastructure. Through also pursuing a consultancy career across a range of industry-led Data Science projects, she observed a gap between the potential industrial benefit and actual implementation of advanced analytics. Sarah’s ambition is to be a leader in a world in which artificial intelligence algorithms are developed equitably, securely and for social good. Pursuing a master's degree at the UC Berkeley School of Information, Sarah plans to develop a robust framework for the implementation of modelling techniques in complex engineering and societal problems. Sarah is excited to be a part of the Berkeley and Fulbright communities, as well as exploring the local mountain biking opportunities and experiencing Silicon Valley in real life.