Curriculum Vitae
Basics
| Name | Daniel Cortild |
| Affiliation | University of Oxford |
| daniel.cortild@maths.ox.ac.uk |
Education
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2025 - 2029 DPhil in Mathematics
University of Oxford, United Kingdom
- Member of the Numerical Analysis and the Data Science groups at the Mathematical Institute.
- Thesis supervised by Coralia Cartis.
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2023 - 2025 MSc in Applied Mathematics
University of Groningen, Netherlands
- Specialization in Numerical Mathematics and Optimization.
- Included a 6-month internship at EDF R&D in Paris on global optimization methods through sampling, supervised by Claire Deplancke and Nadia Oudjane, available here. This project was awarded the 2025 CWI Best Thesis in Applied Mathematics Award.
- Thesis on computer-aided proofs for stochastic gradient descent without variance assumption, supervised by Juan Peypouquet, available here. This project was awarded the 2025 KHMW Jong Talent Graduation Award for Mathematics.
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2020 - 2023 BSc in Mathematics
University of Groningen, Netherlands
- Minor in Numerical Analysis & Computer Science.
- Thesis on fixed-point iterations, supervised by Juan Peypouquet, available here.