Gabriel Moryoussef

Gabriel Moryoussef

PhD Student in Statistics

Carnegie Mellon University

Hi! My name is Gabriel and I am a second year PhD student in Statistics at Carnegie Mellon University where I am fortunate to be advised by Prof. Jiashun Jin. I am mainly interested in developing new statistical and machine learning methods for complex data such as texts and shapes. Prior starting my PhD, I received a Master from the Ecole Normale Supérieure and a Master from the University of Oxford advised by Prof. Ulrike Tillmann, Prof. Heather Harrington, and Prof. Agnese Barbensi where I was interested in studying how persistent homology could be used to help understand knotted proteins. I am always interested in collaborating on new projects so feel free to reach out if you are interested in similar research topics.

Interests
  • Statistical Theory
  • Machine Learning
  • Topological Data Analysis
  • Natural Language Processing
Education
  • PhD in Statistics and Data Science, 2022

    Carnegie Mellon University

  • MSc in Mathematics, Vision, Learning (MVA), 2021

    Ecole Normale Supérieure Paris-Saclay

  • MSc in Mathematical Sciences, 2020

    University of Oxford

  • BSc in Mathematics, 2017

    Imperial College London

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