Frédéric J.P. Richard

Frédéric J.P. Richard

Professor of Applied Mathematics

Aix-Marseille Université

Biography

Frédéric Richard is a professor of applied mathematics at Aix-Marseille university, member of the Institute of Mathematics of Marseille. His current interests are at the crossing of image processing, spatial statistics and data science. He designs and studies mathematical models and methods for the statistical analysis of structured data such as images, surfaces, or graphs. He applies his methods in different domains including medicine, neuroscience and industry.

For twenty years, Frédéric Richard has been teaching mathematics, statistics and programming languages (python, matlab, sas) at all graduate levels of the university. He is particularly involved in the program Data Science of the master’s degree Applied Mathematics, Statistics. He has led its implementation and organization between 2017 and 2020. Frédéric Richard also supervises master internships and PhD students.

Beyond his teaching activity, Frédéric Richard is the director of the department of mathematics, managing the mathematical degrees of the university.

Besides, Frédéric Richard leads actions to promote and ease the interactions between academic laboratories and private companies. From 2012 to 2020, he was a regional officer for the Agency for Mathematics in Interaction with Companies and Society (AMIES). He is now the director of the service Eureka at the Institute Archimede.

Interests
  • Image processing
  • Spatial statistics
  • Data science
Education
  • French research habilitation, 2009

    Université de Paris (Paris Descartes)

  • PhD Thesis in Applied Mathematics, 2000

    Université de Paris (Paris Descartes)

  • MS Mathematics, Vision, Machine Learning, 1997

    Ecole Normale Supérieure Paris Saclay

Experience

 
 
 
 
 
Aix-Marseille University.
Professor of Applied Mathematics
Sep 2011 – Present Marseille

Responsibilities include:

  • Director of the master’s degree of applied maths, stats (2012-2020).
  • Head of the team Signal and Image at I2M (2012-2020).
 
 
 
 
 
AMU, UFR Sciences.
Director of Department of mathematics.
Jan 2021 – Present Marseille
Management of the university’s math training.
 
 
 
 
 
AMU, Institute Archimède.
Director of Eureka (part-time).
Jan 2020 – Present Marseille
Promotion of interactions between academic laboratories and private companies.
 
 
 
 
 
AMIES.
Regional officier (part-time).
Jan 2012 – Jan 2020 Marseille
Organization of events for promoting interactions between academic laboratories and private companies.
 
 
 
 
 
University Paris-Descartes
Associate Professor
Sep 2001 – Aug 2011 Paris

Responsibilities include:

  • PI of a multidisciplinary project (ANR and INCA fundings) on the topic of the statistical analysis of medical image textures (MATAIM project).
  • Member of Scientific Council and Board of Directors of Paris Descartes University under the chairmanship of Pr. Axel Kahn

Recent Posts

Recent & Upcoming Talks

Inauguration d'Eureka
Eureka est une instance de l’Institut Archimède qui s’adresse aux entreprises à la recherche d’une expertise en …

Publications

For a complete list of publications, please consult one of the following links:

HAL Repository / Google Scholar.

Codes and Softwares

Please visit the Github repositories.

Collaborators

Caroline Chaux

Aix-Marseille University - CNRS

CNRS Researcher

Eric Guedj

APHM

Professeur Université Practicien Hospitalier

Julien Lefèvre

Institut des Neurosciences de La Timone

Associate Professor of Computer Science

Olivier Coulon

Institut des Neurosciences de la Timone

Researcher

Paul Escande

Aix-Marseille University

CNRS Researcher

Philippe Roudot

Aix-Marseille University - Institute Centuri

Researcher Chaire Century

Actual PhD Students

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Farideh Baganzani

Aix-Marseille Unniversity

PhD Student

deep learning, image processing, medical imaging

Jules Vanaret

Aix-Marseille University

PhD student

Former PhD Students

Benjamin Coulaud

Aix-Marseille université

Consultant

statistics, applied mathematics

Françoise Tilotta

APHP

MD - PHD

forensic science, image processing

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Hamed Rabiei

Data Scientist at Neurochlore

image processing, medical imaging

Huong Vu

Aix-Marseille Université

Consultant

statistics, applied mathematics

Avatar

Khuyen Le

Postdoctoral Researcher at 3IA Côte d’Azur

statistics, deep learning, medical imaging

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Mohammed Hachama

Professor at University of Blida 1, Vice-Rector

image processing, applied mathematics

Courses

Enseignements dispensés en 2021-22.

  • Statistiques, Licence Mathématiques, Physique, Chimie, Informatique, 3e année.
  • Optimisation pour les sciences de données, Master mathématiques appliquées, statistique, Parcours Data Science, 1ère année.
  • IA et Image, Master mathématiques appliquées, statistique, Parcours Data Science, 2e année.

Ebooks (en construction).

  • Statistique inférentielle (licence).
  • Optimisation pour les sciences de données

Statistique inférentielle en Python

Présentation

Les notebooks en python qui sont proposés ci-dessous s’adressent à des étudiants de licence scientifique qui souhaitent assimiler par la pratique les notions vues en cours de statistique inférentielle. En créant un compte kaggle, ils peuvent être réalisés directement sur un navigateur web sans avoir à installer python. Vous pouvez également proposer des corrections en ligne et les partager. Bon travail !

Pré-requis

  • Notions de base en probabilité et statistique inférentielle.
  • Notions de base en programmation python.

Note

Le cours en ligne qui accompagne ces notebooks est en construction.

Commencer Consulter le cours

Statistique inférentielle en Python

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