cv
Table of contents
Basics
Name | Vincent Blot |
Label | Ph.D. Candidate |
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
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2022.12 - Present PhD in Computer Science / Applied Mathematics
Paris-Saclay University, STIC Doctoral School
Mathematics and Informatics
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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
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2015.09 - 2017.07
Publications
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2025 Conformal Approach to Gaussian Process Surrogate Evaluation with Marginal Coverage Guarantees
Journal of Machine Learning for Modeling and Computing
Edgar Jaber, Vincent Blot, N.J.-B. Brunel, et al. Vol. 6, No. 3, pp. 37–68.
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2025 Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting
UNSURE 2024, LNCS 15167, Springer
V. Blot, C.H. Sudre, R. Mehta, et al.
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2025 Automatically Adaptive Conformal Risk Control
AISTATS 2025
Vincent Blot, A.N. Angelopoulos, M.I. Jordan, N.J.-B. Brunel. Poster session.
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2023 Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE Library
COPA 2023
T. Cordier, V. Blot, L. Lacombe, T. Morzadec, A. Capitaine, N. Brunel.
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2022 MAPIE: An Open-Source Library for Distribution-Free Uncertainty Quantification
arXiv
V. Taquet, V. Blot, T. Morzadec, L. Lacombe, N. Brunel.
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) |