Ayyuce Begum Bektas
Postdoctoral Fellow
Department of Data Science, Dana-Farber Cancer Institute
Begum is a postdoctoral researcher in machine learning working at the intersection of optimization, statistics, and computational biology. Her early research centered on learning with kernels, including regularization and interpretable models. At the Sloan Kettering Institute she developed deep conditional density estimation methods for uncertainty-aware prediction and survival analysis in complex biological systems. Her current work integrates scalable kernel methods with deep learning to build reliable models for biology and healthcare. She is also an effective collaborator with clinicians and biologists to translate methods into practice. She holds degrees from Sabancı University (B.Sc.), Boğaziçi University (M.Sc.), and Koç University (Ph.D.).
Curriculum Vitae
Personal Information
| Name: | Ayyuce Begum Bektas |
| Nationality: | Turkish |
| Address: | Dana-Farber Cancer Institute, CLS Building, 3 Blackfan Circle, Boston, MA 02115 |
| Email address: | begum [at] ds.dfci.harvard.edu |
Education
| 2009 – 2013 | Bachelor of Science, Industrial Engineering, Sabancı University, Istanbul, Turkey |
| 2014 – 2017 | Master of Science, Industrial Engineering, Boğaziçi University, Istanbul, Turkey |
| 2017 – 2022 | Doctor of Philosophy, Industrial Engineering, Operations Management, Koç University, Istanbul, Turkey |
Scientific Career
| 2012 – 2013 | Undergraduate Teaching Assistant, Sabancı University, Istanbul, Turkey |
| 2017 – 2020 | Research Project Scholar, Scientific and Technological Research Council of Türkiye (TÜBİTAK-EEEAG 117E181), Istanbul, Turkey |
| 2017 – 2022 | Graduate Research, Teaching Assistant, Graduate School of Science and Engineering, Koç University, Istanbul, Turkey |
| 2022 – 2025 | Postdoctoral Fellow, Department of Cancer Data Science, Memorial Sloan Kettering Cancer Center |
| 2025 – present | Postdoctoral Fellow, Department of Data Science, Dana-Farber Cancer Institute |