About me
I am an Applied Mathematics PhD Candidate in the Data Science group of the Mathematical Institute at the University of Oxford advised by Prof. Jared Tanner.
My PhD research focuses on theories of Deep Learning. In particular, I am interested in the study of infinitely wide neural networks and possible applications of Random Matrix Theory to prescribe practitioners with effective initialisation schemes.
I also have some interests in Geometric Machine Learning methods, such as applications of Deep Learning models to solve public health issues. In summer 2023, I interned at Owkin as a Research intern in the Computer Vision team. Download my CV.Email : thiziri [dot] naitsaada [at] maths [dot] ac [dot] uk
Interests
- Theoretical Deep Learning
- Geometric Machine Learning
- Optimisation
- Applications of Deep Learning
Education
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University of Oxford (2022-present)
PhD in Mathematics
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Ecole Normale Superieure of Saclay (2020-2021)
MSc in Mathematics, Vision and Learning (MVA)
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Télécom Paris (2018-2021)
Grande École diploma in Data Science
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Eurecom (2019-2020)
Master's Degree in Computer Science
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Lycées Henri IV and Saint-Louis (2016-2018)
Preparatory Classes in Physics and Maths