
About
Sivan Sabato is an Associate Professor at McMaster University's Department of Computing and Software, a Canada CIFAR AI Chair, and faculty member at the Vector Institute of Artificial Intelligence. She holds a joint appointment at Ben-Gurion University's Department of Computer Science while on leave. Her research focuses on machine learning theory, active learning algorithms, and fairness in machine learning.
Education:
- PhD in Computer Science, Hebrew University of Jerusalem
- Postdoctoral Fellowship, Microsoft Research New England
Her theoretical work develops interactive learning frameworks that optimize information costs through algorithmic interaction patterns. Recent publications emphasize differential privacy and discriminative feature analysis with applications to healthcare and social data.
She serves as Action Editor for Journal of Machine Learning Research and organizes conference tracks including ICML 2022-2023 and ALT 2021. Awards include the Alon Scholarship and Google Anita Borg Memorial Scholarship.
Advising: Actively supervises Computer Science PhD and MSc students through McMaster's Faculty of Engineering. Research interns can apply via the Vector Institute program with Summer 2026 opportunities.
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