Savina Kim
Savina’s PhD research project was on Fairness in AI, co-supervised in the Business School and the School of Informatics.
To learn more about Savina’s research project visit the project page.
Savina’s work explored the responsible usage of AI, in particular, algorithmic fairness with applications to the financial industry during a transformative Open Banking movement. Her aim was to help solve pressing societal issues, including expansion of credit access to underserved populations. She holds a MSc degree in Neural Systems and Computation from ETH Zurich and the University of Zurich’s Institute of Neuro-Informatics and a BA double degree in Cognitive Science and Economics from Yale University. Previously, she has worked as a researcher at IBM focusing on transparent and trustworthy machine learning design and has finance experience as an investment banking analyst in NYC. Savina has a keen interest in the intersection of machine learning interpretability, fairness & bias and ethical AI design.
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