Nayel Bettache

About me

I am a 3rd-year PhD candidate in the statistics department of CREST, Institut Polytechnique de Paris, under the supervision of Cristina Butucea.

My research delves into the foundational aspects of mathematical statistics and machine learning, placing a special emphasis on crafting practical and efficient learning methods with provable theoretical guarantees. I am particularly interested in time series, random matrix theory and high dimensional estimation problems.

In addition to my research activites, I serve as a teaching assistant at ENSAE.

Publications

Preprints

• Two-Sided Matrix Regression.
  N.B., C. Butucea.
  Preprint ArXiv, 2023.
  

Journal

• Fast nonasymptotic testing and support recovery for large sparse Toeplitz covariance matrices .
  N.B, C.Butucea.
  Accepted to Journal of Multivariate Analysis (JMVA), 2022.

Teaching

ENSAE - Teaching Assistant

• Probability Theory -- Undergraduate (L3) - Professor: Victor-Emmanuel Brunel - Spring 2024 & 2023.
• Measure Theory -- Undergraduate (L3) - Professor: Cristina Butucea - Fall 2023 & 2022.
• Optimization -- Undergraduate (L3) - Professor: Guillaume Lecué - Spring 2023 & 2022.
• Machine Learning -- Graduate (M1) - Professor: Vianney Perchet - Spring 2022.
• Statistical Learning -- Graduate (M2) - Professor: Cristina Butucea - Fall 2021.
• Linear Algebra -- Undergraduate (L3) - Professor: Matthieu Lerasle - Fall 2021.
• Introduction to Statistics -- Undergraduate (L3) - Professor: Matthieu Lerasle - Spring 2021.
• Numerical Methods -- Undergraduate (L3) - Professor: Sidi Mahmoud Kaber - Spring 2021.

Talks

• European Meeting of Statisticians, Warsaw (Poland), June 2023.
• Harvard Stat 300 Seminar, Harvard University, Cambridge (MA, USA), May 2023.
• Second-year PhD student days, Ecole Doctorale Mathématiques Hadamard, Palaiseau (France), May 2022. Slides
• First-year PhD student days, Ecole Doctorale Mathématiques Hadamard, Palaiseau (France), May 2021. Slides

Grants

• Junior Scientific Visibility: Fondation Mathématique Jacques Hadamard, 2023 (2300€).

Reviewing

• Latin American Journal of Probability and Mathematical Statistics (ALEA), 2022
• International Colloquium on Automata, Languages and Programming (ICALP), 2023

Academic Experience

• PhD Candidate, CREST-ENSAE, Under the supervision of Cristina Butucea, 2021-2024 (expected).
• Visiting Researcher, Harvard University, Invited by Tracy Ke, April 2023.
• Visiting Researcher, Cornell University, Invited by Florentina Bunea, May 2023.
• Graduate Researcher, CREST-ENSAE, Under the supervision of Cristina Butucea, Jan. 2023-Aug. 2023.
• Research Intern, CREST-ENSAE, Under the supervision of Cristina Butucea, Jun. 2018-Sep. 2018.

Education

• M.Sc Statistics and Learning, ENSAE IP Paris, 2017 –2020.
• M.Sc DataScience, Ecole Polytechnique, 2019 –2020.
• Classes Préparatoires MPSI-MP, Institution Aux Lazaristes, 2014-2017.

Professional Experience

• Quantitative Research Intern, BNP Paribas (London), Under the supervision of Philippe Amzelek, Jul.2020 –Dec. 2020.
• Quantitative Research Intern, Advestis (Paris), Under the supervision of Christophe Geissler, Jun.2019-Oct. 2019.

Curriculum Vitae