Ayyuce Begum Bektas

Postdoctoral Fellow
Department of Data Science, Dana-Farber Cancer Institute

Begum is a postdoctoral researcher specializing in optimization, statistics, and computational biology, developing theoretically grounded and efficient methods. She received her Bachelor’s, Master’s, and PhD degrees from Sabancı, Boğaziçi, and Koç Universities, respectively, with her doctoral research centered on kernel methods, regularization, and interpretability. She later developed probabilistic ML for uncertainty-aware prediction and survival analysis at the Sloan Kettering Institute. Her current work integrates statistical learning, scalable kernels, and deep learning to model complex biological systems, advancing interpretable, robust, and reproducible methods for biomedicine and beyond.

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