Teaching & Responsibilities

   Some Responsabilities:

• Membre élu du conseil d'administration de la Société Mathématique de France, depuis 2022.

• Membre élu du Conseil National des Universités (CNU), Section 26 "Mathématiques appliquées et applications des mathématiques",  2019-2023.

• Chargée de mission "Parité" de la Société Mathématique de France, 2021-2023.

•  Membre du jury de l'agrégation de Mathématiques,  2018-2022 et 2024-...

•  Présidente du comité d'organisation des APSA awards, depuis 2019.

•  Responsable et co-fondatrice du Groupe de travail sur "le cerveau bayésien", depuis 2019.

• Membre du Conseil d'administration de l'Association pour la Promotion Scientifique de l'Afrique (APSA), depuis 2018.

• Membre élu du Comité d'Experts Disciplinaires (CED), sections 25-26 (Mathématiques) de l'université d'Orléans, depuis 2017.

•  Rapporteure et membre du jury de thèse de M. S. Badiane, Université de Ziguinchor, Déc. 2021.

• Rapporteure et membre du jury de thèse d'A. Diouf, Université de Ziguinchor, Juin 2019.

• Membre du Comité de Sélection du poste MCF "Statistique  et Probabilités", Université de Poitiers 2024

•  Membre du Comité de Sélection du poste MCF "Statistique  et Science des données", Université Bretagne Sud, 2023.

• Membre du Comité de Sélection du poste "Statistique",  CNAM Paris,  2022.

• Membre du Comité de Sélection du poste ECC de l'Université Technologique de Compiègne, 2022.

• Membre du Comité de Sélection du poste "Statistique appliquée", Oniris Nantes,  2022.

• Membre du Comité de Sélection du poste MCF "Intelligence Artificielle",  CNAM Paris, 2020.

• Membre du Comité de Sélection du poste MCF  "Apprentissage Statistique  &  Statistique Mathématique ", Université Technologique de Compiègne, 2020.

• Rapporteure du Conseil d'Administration du CUFR de Mayotte sur les dossiers de dispense de qualification et de mutation pour le poste MCF section 26, 2020.

•  Membre du Comité de Sélection du poste MCF "Probabilités ", Université d'Orléans, 2019.  

•  Membre du Comité de Sélection du poste MCF "Data Science ", Université Bretagne Sud, 2019.

• Membre du Comité de Sélection du poste MCF "Modélisation stochastique et applications ", Université Technologique de Compiègne, 2019.

• Membre du Comité de Sélection du poste 26 MCF0701 profil "Probabilités et applications", 2016.     

• Présidente du jury de Baccalauréat, Lycée Monod Saint Jean de Braye, Juillet 2017.

• Membre du Conseil Scientifique de l'Association pour la Promotion Scientifique en Afrique (APSA) pour les rencontres des jeunes chercheurs africains en France, 2016 & 2018 & 2020 & 2022. 

• Membre du Comité d'Organisation de  "Forum des Jeunes Mathématiciens", 28-30 Nov. 2018, Orléans.

• Membre du Comité d'Organisation de  "AWMA West Africa Regional Forum, 8-9 Juil 2016, Mbour, Sénégal.

• Co-organisation de "Première Journée Filles & Sciences" , 5 Mars 2016, Dakar, Sénégal.    

• Co-Organisation du workshop "Nonparametric Bayesian Statistics",  21-22 Mai 2014, Orléans.

 Courses and students:

Courses (2020-2024):

• • Mathematics, DU Ecole IOT (Internet of Things), shared class with B. Galerne.

  • Bayesian Statistics, M. Sc. 2nd year (M2) Statistics and Applied Probabilities.

  • Data Mining, M. Sc. 1st year (M1) Statistics and Applied Probabilities.

  • Inferential Statistics, B. Sc. 3rd year (L3) Mathematics.

  • Descriptive statistics, B. Sc. 2nd year (L2) Mathematics.

  • Statistics, B. Sc. 3rd year (L3) MIAGE

  • Mathematical Modelling, B. Sc. 2nd year (L2) Computer Science.

  • Introduction to R programming, B. Sc. 3rd year (L3) EG International Economics.

  • Image Processing and Reconstrution,  shared class with C. Louchet, B. Sc. 2nd year (L2) DFGSM2, (2023-2024)

 Since 2022: Lecturer at AgroParistech Orléans,"Statistical methods for quality control",  , M. Sc. 2nd year (M2) Cosmetics.

2022-2023: Invited teacher Ho Chi Minh  University of Science, Vietnam  "Bayesian Statistics and Image processing ", , M. Sc. 2nd year (M2) Maths.

2021-2022: Invited teacher CUFR de Mayotte, "Introduction to R programming". B. Sc. 2nd year (L2) Maths.

Courses (2018-2020):

• • Bayesian Statistics, M. Sc. 2nd year (M2) Statistics and Applied Probabilities.

  • Mathematical Modelling, B. Sc. 2nd year (L2) Computer Science.

  • Data Mining, M. Sc. 1st year (M1) Statistics and Applied Probabilities.

  • Inferential Statistics, B. Sc. 3rd year (L3) Mathematics.

  • Descriptive statistics, B. Sc. 2nd year (L2) Mathematics.

  •  Statistics, B. Sc. 3rd year (L3) MIAGE

  • Introduction to R programming, B. Sc. 3rd year (L3) EG International Economics

Invited teacher, University of Mayotte, Dembeni, Fev. 2019 & Fev 2020.

• • Course on Simulation and Monte-Carlo methods L3 Mathematics

Courses (2015-2018):

• Bayesian Statistics, M. Sc. 2nd year (M2) Statistics and Applied Probabilities.

• Image Analysis (2015-1016), M. Sc. 2nd year (M2) Polytech Orléans.

• Mathematical Modelling, B. Sc. 2nd year (L2) Computer Science.

• Data Mining, M. Sc. 1st year (M1) Statistics and Applied Probabilities.

• Empirical Statistics, B. Sc. 3rd year (L3) Mathematics.

• Data Analysis, B. Sc. 2nd year (L2) Mathematics.

• Statistics, B. Sc. 3rd year (L3) MIAGE.

• Data Analysis in Biosciences, B. Sc. 1st year (L1) Biology.

     Invited teacher, University Cheikh Anta Diop, Dakar, Senegal:

   Course on Image processing, Master Bio-informatics, 2012, 2014, 2016,2017

Courses (2014-2015):

• Nonparametric Bayesian Statistics, M. Sc. 2nd year (M2) Statistics and Applied Probabilities.

• Mathematical Modelling, B. Sc. 2nd year (L2) Computer Science.

• Data Analysis and SAS Software, M. Sc. 1st year (M1) Statistics and Applied Probabilities.

• Statistics, B. Sc. 3rd year (L3) Mathematics.

• Data Analysis and R software, B. Sc. 2nd year (L2) Mathematics.

• Statistics, B. Sc. 3rd year (L3) MIAGE.

Courses (2013-2014):

• Data Analysis and SAS Software, M. Sc. 1st year (M1) Statistics and Applied Probabilities.

• Data Analysis and R software, B. Sc. 2nd year (L2) Mathematics.

• Statistics, B. Sc. 3rd year (L3) MIAGE.

Supervision:

PhD Thesis supervision

2022-2025 : Co-supervision with N.Dobigeon  (IRIT, Toulouse) and A. Chetouani (PRISME, Orléans) of E.C. Faye PhD Thesis on "Bayesian inversion with deep learnig-driven priors - Application to spectral imaging problems"

2021-2024 : Co-supervision with B. Galerne (IDP), S. Grangeon and F. Claret (BRGM), R. Harba (Prisme)  of T. Simonnet PhD Thesis"Identification and quantification of mineralogical phases in complex 3D materials: use of Artificial Neural Networks in XRD tomographic studies"

2020-2023 : Co-supervision, with B.I Camara (University of Lorraine), S.Dabo-Niang (University of Lille) and G. Masson (University of Lorraine), of Aminétou Agrabat PHD thesis (canceled due to Aminétou's personal reasons).

Master Thesis supervision

2022-2023 :

• Supervision of  A. Nguyen M2 internship on "Bayesian deep-learning for Knee OA".

• Co-supervision with J. Bonnal  of S. Kodjo M1 internship on "Nonparametric statistical tests for post-processing of fNIRS signals".

• Co-supervision with J. Bonnal of L. Ngomo M1 internship "Study of the functional connectivity of the brain using graph theory ".

• Academic advisor  of  T. Le Goff M2 internship on "Model comparison and parameter learning in inverse problems Bayesian strategy and stochastic sampling".

• Academic advisor  of  J. Deporte M2 internship on "Data Science".

• Academic advisor  of  E. Eliott M1 internship on "Data Science".

2021-2022 :

• Co-supervision with Dr Auzou  of F. Monnet M2 internship on "Generalized Linear Model to FNIRS signal deconvolution".

• Co-supervision with Dr Auzou of R. Delaporte M1 internship "Application of Kalman filter to short-distance study in FNIRS".

• Co-supervision with Dr Auzou of F. Bouterfass M1 internship "General Linear Model  applied to FNIRS signal processing:"

• Academic advisor  of  C. jolivet  M2 internship "Pharmacovigilance tools for Covid 19"

2020-2021 :

•  Co-supervision with B. Galerne (IDP), S. Grangeon and F. Claret (BRGM) of T. Simonet M2 internship on "Identification and quantification of mineralogical phases in complex 3D materials: use of Artificial Neural Networks in XRD tomographic studies"

• Co-supervision with Dr Auzou  of N.Perret M2 internship on "Developping Mathematical  tools for cerebral FNIRS signal processing".

• Co-supervision with Dr Auzou of L. Rabourdin M1 internship "Analysis of FNIRS signal: splines vs wavelets".

• Co-supervision with Dr Auzou of F. Monnet M1 internship "Analysis of FNIRS signal: PCA vs ICA".

• Supervision of F. Belaid, M. Delahaye and S. Ibersiene L3 project "Nonparametric density  estimation".

2019-2020 :

• Co-supervision with Dr Auzou and F. Prieur of N. Perret M1 internship on "Treatment and statistical analysis of fNIRS signals"

• Supervision of  Y. Kandji M2 internship, with Orange Lab "Improving exploitation of  feedback from users of SI via NPS NI survey".

• Supervision of the L3 project of Romain Revellat, Thomas Trottier and Oualid Noureddine "Bayesian capture-recapture".

2018-2019 :

• Supervision of  I. Laouane M2 internship "Modelling Morocco's economic growth".

2017-2018 :

• Supervision of  Y. Haneche M2 internship "Optimizing voltage control of a transmission belt".

• Supervision of  A. Bamba M1 internship "Analysis of LOAC measures under low concentrations".

• Supervision of  Y. Kandji M1 internship "Data analysis of Atler Ego Digital".

2016-2017 :

• Co-supervision, with Dr Auzou (CHRO), of  E. Lavau M2 internship "Language study via the VLSM method: frequentist or Bayesian approaches?".

• Supervision of  E. Lavau M2 project, "Using Polya trees  in Bayesian tests".

• Supervision of  M. Boucher M2 project, "Bayesian hypothesis testing".

• Supervision of  L. Charron & M. Maisonneuve L3 project, "Nonparametric density estimation".

2015-2016 :

• Supervision of  M. Deme M2 project.

• Co-supervision, with F. Gosselin, IRSTEA, of M. Deme M2 internship.

• Co-supervision, with D. Chauveau (MAPMO) and Dr Auzou (CHRO), of  E. Lavau and M. Raffard M1 internships.

2014-2015 :

• Supervision of  C. Rabillon M2 project "Mixture modelling for density estimation: Bayesian vs frequentist approaches".

• Co-supervision, with C. Heusèle (LVMH), of C. Rabillon M2 internship.

• Co-supervision, with H. Ratiney (CREATIS), of A. Cès M1 internship"Bayesian Inference for quantification of NMR spectra signals".

• Co-supervision, with M. Bardy (INRA) of D. Quérin  M1 internship"Classification of agronomic soils"

• Co-supervision, with C.Tauber (Tours), L. Delsol (MAPMO) and C. Louchet (MAPMO) of A. Ngoma M2  internship on "Segmentation of dynamic PET images based on Bayesian and functional kernel approaches"

• Co-supervision with L. Delsol (MAPMO), of two L3 projects.

              1. Statistics and counting (M. Boucher, A. Douthe, C. Jourdannaud)         

              2. Statistics and imaging (L. Branchoux, A. Moulin, F. Ochej)

2013-2014 :

•  Co-supervision, with Richard Émilion, of two France-Vietnam Master 2 internships :

                   1. Random distributions and Random wavelets

                   2. Dependent Dirichlet Processes

  Other activities:   Centre Galois, Fête de la Science.  

                         Previous courses:

• 2011-2013 :  Assistant professor at the Department of Mathematics and Computer Science, University      

                               Paris 5 Descartes, France.

• Mathematics (134h), B. Sc. 1st year:

           Complex numbers, numerical sequences  Continuity and derivability, usual functions, Taylor expansion.

           Matrix computation,  determinants,  matrix diagonalization. Primitive integrals,  positive, improper and multiple integrals.

           Numerical and power series, Ordinary Differential  Equations.

        Analysis for Engineering (24h), B. Sc. 2nd year:

           Multivariate functions: domain of a function, limits, continuity, differentiability,  partial  derivatives Taylor's formulas and local extremas Multiple integrals:      

           computation,   Fubini's theorem, Change of variables theorem. Fourier series.

• Numerical methods (48h), B. Sc. 3rd year:

          Nonlinear ODE,  numerical integration, ODE approximations, Numerical matrix analysis,  optimization etc.

• Jan. 2012 (30h) :  Invited teacher, University Cheikh Anta Diop, Dakar, Senegal.

      Image processing course, M. Sc. Bio-informatics:

       General notions about image: sampling, quantization, coding, types and formats etc. Image enhancement by histogram modification: dynamic extension,          histogram   equalization  Image restoration by spatial filters: noise reduction, contrast reinforcement.

      Applications of Fourier transform: motif and texture detection. Introduction to image reconstruction.

• 2008-2010 (64h/year) : Assistant teacher at ENSIIE (engineering school), Evry, France.

•  Statistics:  Descriptive statistics, estimation theory, statistical hypothesis testing, statistical modeling.

• Numerical Analysis: Interpolation and numerical quadrature, initial value problems, numerical matrix computations,  applications (boundary value problems, heat equation).

• Mar. 2009 (6 h): Invited teacher, Supélec Gif-sur-Yvette, France.

      Stochastic sampling and Markov chain Monte-Carlo methods  course, M. Sc. Signal and Image processing:

         Discrete and continuous random variables simulation methods: inverse transform sampling,  Box-Muller transform etc.

         MCMC methods: Markov chains, Metropolis-Hastings algorithm and Gibbs sampler, Applications.

Some useful links (in French)

• Exo7, Recueil en ligne d'exercices niveau Licence.

• Académie en ligne, nombreuses ressources pour le lycée.

• Ximinds, plateforme de cours interactive.