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 optimal initialisation schemes.

I also have some interests in Geometrical Machine Learning methods, as such as applications of Deep Learning models to solve public health issues.

Download my CV.

Email : thiziri [dot] naitsaada [at] maths [dot] ac [dot] uk

Interests

  •   Theoretical Deep Learning
  •   Geometrical Machine Learning
  •   Optimisation
  •   Applications of Deep Learning

Education

  • University of Oxford (2022-present)

    PhD in Mathematics

  • Ecole Normale Superieure of Saclay (2020-2021)

    MSc in Mathematics, Vision and Learning (MVA)

  • Télécom Paris (2018-2021)

    Grande École diploma in Data Science

  • Eurecom (2019-2020)

    Master's Degree in Computer Science

  • Lycées Henri IV and Saint-Louis (2016-2018)

    Preparatory Classes in Physics and Maths

Publications

and J. Tanner (2023). Beyond IID weights: sparse and low-rank Neural Networks. Accepted at ICLR 2024.

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(2022). On the Initialisation of Wide Low-rank Feedforward Neural Networks. Submitted.

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Presentations