CV du
consultant

BDD

Data

Connaissances fonctionnelles

Deep learning machine learning office offshore SOFTWARE

Langages

PYTHON C Numpy Pandas Pytorch R

Méthodes

integration Management

Outils

Sklearn

. 2023 - Doctorat

Education
2013-2014 Licence of mathematics, University of Le Havre, Le Havre, France, head of the
class
2015-2016 Master 1 mathematics, University of Rennes 1, Rennes, France
2017-2018 Master 2 mathematics, University of Le Havre, Le Havre, France, head of the
class
sept 2019-Feb
2023
PhD Student - Data assimilation of geophysical processes using AIS data
streams and Deep Learning methods, IMT Atlantique & Eodyn, Brest, France
MOOC :
2018-2019 Coll`ege de France, Data science class of Stephane Mallat
2019 Certification, Machine Learning, CS229 Coursera - Standford University
2019 Certification, Deep Learning Specialization, coursera DeepLearning.ai
Teaching activities
2020-2021 Computational imaging, Teaching assistant, IMT Atlantique
2021 Deep Learning, Teaching assistant, IMT Atlantique
2020 Machine Learning, Teaching assistant, IMT Atlantique
Work experience
in mathematical engineering
mars-oct
2018
Internship, SEGULA Technologies, Developpement of a hull-structure optimization algorithm for a design office in naval enginnering :
○ Implementation of a genetic algorithm
○ study of DC optimization and the DCA algorithm for non-convex optimization
○ Numerical integration of gradient flow on manifolds
Oct 2018 -
Oct 2019
Research engineer, SEGULA Technologies, Applied mathematics
○ modeling and solving optimal control problems for improving fuel consumption of merchant
ship - Software development in C#
○ Management of a R&D project and supervisions of internships
Also
2015-2017 Semi professional sailor
3 years of single-handed offshore sailing campaign. ranked 17th in the France offshore
championship (2016)

Freelance
Jan 2023 - Consulting scientist, www.marktechpost.com, Marktechpost is a Californiabased AI News Platform providing easy-to-consume, byte size updates in machine
learning, deep learning, and data science research.
Publications
2022 Multi-modal data assimilation of sea surface currents from AIS data streams
and satellite altimetry using 4DVarNet, Bena¨ıchouche Simon et al, Under review,
-
2022 Divergence-free continuous normalizing flows for uncertainty quantification,
Bena¨ıchouche Simon et al, Under review, -
2022 Learnable variational models for the reconstruction of sea surface currents
: A case study on the Sicily Channel, Bena¨ıchouche Simon, Le Goff Clement,
Guichoux Yann, Rousseau Fran¸cois, Fablet Ronan, IGARSS 2022, Kuala Lumpur
2021 Unsupervised reconstruction of sea surface currents from AIS maritime traffic
data using learnable variational models, Bena¨ıchouche Simon, Le Goff Clement,
Guichoux Yann, Rousseau Fran¸cois, Fablet Ronan, ICASSP 2021, Toronto
2021 Unsupervised reconstruction of sea surface currents from AIS maritime traffic
data using learnable variational models, Bena¨ıchouche Simon, Le Goff Clement,
Guichoux Yann, Rousseau Fran¸cois, Fablet Ronan, MDPI Remote Sensing, Journal
Talks
2021 The energetical cost of training Deep neural networks, prIMTemps Atlantique,
Brest, 2021 may 19th
2021 Variational learning of sea surface current reconstructions from AIS data
streams, IMT-Atlantique & RIKEN Online Joint Seminar Series , 2021 march 18th
2022 Les enjeux de l’IA dans le maritime, Brest - AI-days.bzh , 2022 June 29th
Centers of interest in applied maths and computer science
Optimization Discrete and continuous methdods, theory of optimal control
Deep
Learning
Generative models, Recurrent neural networks, Energy based models, neural ODEs
dynamical
systems
PDE, ODE, data driven discovery of dynamical systems
Languages C,C#, Python (PyTorch, pandas, sklearn, numpy)
Languages
French mother tongue
English fluent