cv

CV

Basics

Name Hippolyte Pilchen
Label Research engineer
Email forename.lastname@polytechnique.org

Work

  • 2024.09 - Present
    AI researcher
    Kyutai, Paris
    Working on context compression and memorization in LLMs.
  • 2024.04 - 2024.08
    Research Intern
    Gatsby Computational Neuroscience Unit, UCL, London
    Designed a new method which enables to reduce the computational cost of diffusion generative models at training and test time.
  • 2023.09 - 2024.04
    Teaching assistant
    Lycee Henri IV, Paris
    Oral examiner in math for undergraduates (second year PC*) preparing for Grandes Écoles examinations.
  • 2023.04 - 2024.07
    Research Intern
    Computing Sciences department, Bocconi Universita, Milan
    Algorithmic hardness in non-convex optimization problems.
    • Implemented different learning heuristics and algorithms for finding low loss paths in the phase retrieval problem (SGD, MCMC. . .).
    • Carried out an in-depth analytical study of the loss landscape of this problem using the Replica method from disordered systems.
  • 2022.06 - 2022.09
    Junior data scientist
    Ekimetrics, Paris
    • Worked for a R&D proof of concept : run ML algorithms (LightGBM, XGBoost, GNN...) on pooled datasets from different banks to enhance money laundering detection.
    • Actively contributed to a marketing mix modeling mission : implemented multivariate regressions and principal component analysis to explain the sales.
  • 2020.09 - 2021.04
    Emergency crew leader
    Paris Firefighter, Clichy-sous-Bois
    • Part of a personal development and military training of 7 months.
    • Carried out the duties of head of emergency response during rescue missions, leading a team of three or more firefighters, in underprivileged districts of the 93rd department.
    • Assisted in the training (mathematics, physics...) of personnel who are aiming for promotion in their military career.

Education

  • 2023.09 - 2024.04

    Paris, France

    Master Mathématiques Vision Apprentissage, ENS Paris-Saclay
    Applied Mathematics & AI
    • Optimal Transport
    • Geometric data analysis
    • Optimization
    • Image processing
    • NLP
    • Probabilistic Graphical Models
    • Generative Modelling
    • Kernel methods
    • ...
  • 2020.09 - 2023.04

    Paris, France

    École Polytechnique, Palaiseau, France
    Applied Mathematics, Computer Science and theoretical Physics
    • Statistics
    • Monte Carlo methods
    • Deep Learning
    • Statistical Physics
    • ...

Skills

Machine Learning, Applied Mathematics

Languages

French
Native speaker
English
Fluent
Spanish
Intermediate
Italian
Lower Intermediate