Shaurya Gaur
Master Student
Shaurya obtained his Bachelor's degree in Computer Science, specializing in Artificial Intelligence and Data Science, at Oregon State University in the United States. During his Bachelor's, he worked as a researcher on algorithms to generate song playlists that gradually change in mood. He also completed a research internship at Carnegie Mellon University in that time, working on a tool which explained the behavior and biases of Wikipedia's edit moderation model to editors on the platform. This experience led him to pursue a Master's degree in Artificial Intelligence with a focus on the Societal Impact of AI at Radboud University, as part of the Fulbright scholarship. At DIAG, Shaurya is working on his Master's thesis under the supervision of Fennie van der Graaf, Lena Philipp and Michel Vitale. He will evaluate the fairness of malignancy risk estimation models for lung cancer screening, and develop methods to mitigate their biases.
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