cv

CV of Tristan

Basics

Name Tristan Lazard
Label PhD in Computational Pathology
Email trislaz.tl@gmail.com
Phone +336.89.95.84.82
Url https://trislaz.github.io/
Summary After completing my undergraduate studies in biology at ENS Ulm, I pursued and graduated with a Master's degree in Applied Mathematics from UPMC Sorbonne. Then, I earned my PhD from CBIO at Mines ParisTech. My doctoral research bridged the fields of biology, mathematics, and computer science, with a particular focus on developing algorithms to learn representations of large-scale microscopy images (WSIs). My interests broadly span these areas, including biology and evolution, applied mathematics, as well as computer science and machine learning.

Education

Work

  • 2019.12 - 2023.11
    PhD Candidate
    CBIO - Mines-Paristech
    During my PhD, I focused on training predictive models from Whole Slide Images of cancerous tissues. Besides their clinical use, my goal was to understand these models to improve our understanding of the disease. I also worked on developing unsupervised techniques to train representations of these biological samples. This effort resulted in 5 papers, 1 patent, and a prize-winning solution at an international data challenge, Visiomel.
  • 2019.01 - 2019.07
    Engineering Intern
    CMM, Mines-Paristech
    In partnership with L’Or´eal, I created an algorithm for automatically counting melanocytes in microscopic images. This solution has been integrated into the processing pipeline and is now utilized in regular research.
  • 2018.01 - 2018.08
    Research Intern
    IBPS, Sorbonne University, AIRE team
    I developped an algorithm for calculating phylogenetic trees from huge genetic sequence data (-omics data).
  • 2017.03 - 2017.07
    Research Intern
    Collège de France, SMILE team
    I worked on a model of random mutualistic network. I studied its asymptotic behaviours and developed an algorithm to infer its parameters from a sampled network.

Skills

Interests