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Table of contents

Basics

Name Vincent Blot
Label Ph.D. Candidate
Email vincentblot28@gmail.com

Work

  • 2020.10 - Present
    Data Scientist and PhD Candidate
    Quantmetry – Capgemini Invent
    • Small fiber neuropathy detection in skin biopsy images: developed algorithms for assisted diagnosis, co-inventor of diagnostic device (Patent Application No. 22 00588), and participation in retrospective/prospective clinical trials.
    • Development of the MAPIE library for Conformal Prediction (focus on multiclass and multilabel tasks); presented at DFUQ workshop (ICML 2022) and COPA 2023.
    • Adaptive recall control for semantic segmentation: methodology providing recall guarantees and dynamic thresholding.
    • Uncertainty quantification for follicle detection in mouse ovaries: integrated biological priors to improve reliability.
    • Novel conformal prediction methods for Gaussian Processes regression with robust theoretical coverage guarantees.

Education

  • 2022.12 - Present
    PhD in Computer Science / Applied Mathematics
    Paris-Saclay University, STIC Doctoral School
    Mathematics and Informatics
  • 2017.09 - 2020.07
    Undergraduate and Master
    Toulouse School of Economics (TSE) & Paul Sabatier University, Toulouse
    Econometrics and Statistics
    • Deep Learning
    • Computer Vision
    • NLP
    • Big Data
    • Scoring
    • Time Series
    • Data Mining
    • Graph Theory
  • 2015.09 - 2017.07
    Preparatory Class
    Lycée Pothier, Orléans
    Literature and Social Sciences (B/L)

Publications

Skills

Programming
Python
R
Bash
Git
Python Libraries
Keras
TensorFlow
PyTorch
OpenCV
pandas
NumPy
scikit-learn

Languages

French
Native speaker
English
C1 (TOEFL 93/120)

Projects