Florentin Coeurdoux Email & Phone Number

Brittany, France

Toulouse, Occitanie, France

Numerous machine learning and signal/image processing tasks can be formulated as statistical inference problems. However, misspecification or underspecification of the probabilistic model describing the data set and how it relates to the parameters of interest impair most of the statistical inference methods. To overcome this difficulty, this project aims at developing new inference frameworks able to embed data-driven models into statistically sound approaches and methods.

Designed and developed mathematical and computational model (Optimization and Monte Carlo)Streamlining the process of taking machine learning models to production, and then maintaining and monitoring them.

Brest, Bretagne, France

- Designed and developed a forecasting model for high dimensional time series. - Hidden Markov Model - Developed a dynamic budget allocation system with deep reinforcement learning.

Rennes, Bretagne, France

Creating, backtesting & implementing cross-asset systematic strategies

Région De Saint-Malo, France

Setting up a Product Information Management (PIM) and a DigitalAsset Management (DAM). Setting up a Microsoft Azure Data Lake, ETLs and data cleanup tasks with python and XSLT.

Research Visiting Scholar

Research Visiting scholar at the Department of Statistics, University of Oxford by Arnaud Doucet (Professor of Statistics & Research.

Doctor Of Philosophy - Phd - Machine Learning

Deep Generative models, Bayesian inference, optimal transport

Meng Mathematics And Computer Science, Applied Mathematics, Valedictorian - Gpa 3.88/4

Advanced mathematical courses on methods employed in contemporary research for the processing of data, images and signals.

Master Of Business Administration - Mba, Specialized In Financial Engineering

Double degree: MBA at IGR-IAE & Engineering degree at ENSAI