The Usefulness of Interpretability

Speaker

Kevin Quinn

Kevin is a PhD student at Boston University working with Professor Mark Crovella and Professor Evimaria Terzi. Kevin's research focuses on the design and application of interpretable machine learning models, specifically for unsupervised clustering problems. He previously completed a BA in mathematics and computer science at BU.

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