CV
Education
- PhD in Statistics Machine Learning (2012–2016)
- University Pierre and Marie Curie
- title: Segmentation of Counting Processes and Dynamical Models
- Thesis defended on June 27th 2016 before a jury composed of: Pierre Alquier (ENSAE), Examiner; Sylvain Arlot (Univ. Paris-Sud), Examiner; Gérard Biau (UPMC), Examiner; Stéphane Gaïffas (Univ. Paris Diderot), Advisor; Agathe Guilloux (Univ. Evry), Advisor; Erwan Le Pennec (École Polytechnique), Reviewer
Manuscript, 
Slides
- MSc in Applied Mathematics, speciality Statistics (2011–2012)
- University Pierre and Marie Curie
- Master’s Thesis: Change-Points Detection with Total-Variation Penalization
- Under the supervision of Stéphane Gaïffas (Univ. Paris Diderot) and Agathe Guilloux (Univ. Evry)
- Manuscript
- MSc in Applied Mathematics, speciality Probabilities and Random Models (2010–2011)
- University Pierre and Marie Curie
- Master’s Thesis: Poisson Access Networks with Shadowing: Modeling and Statistical Inference
- Under the supervision of Bartlomiej Blaszczyszyn (INRIA) and Mohamed Karray (Orange Labs)
- Manuscript, Slides
- Magistère Mathématiques (2008–2010)
- University Gabes, Tunisia
- Master’s Thesis: Backward Stochastic Differential Equations and Financial Mathematics
- Under the supervision of Said Hamadène (Univ. Le Mans) and Ibtissem Hdhiri (Univ. Gabes)
- Manuscript, Slides
- BSc in Mathematics (2005–2007)
- University Gabes, Tunisia
Work experience
- Assistant Professor (2020–)
- LMAC Laboratory
- University of Technology of Compiègne
- Postdoctoral Researcher (2019–2020)
- LITIS Laboratory
- University Rouen Normandy
- Postdoctoral Researcher (2017–2018)
- Laureate Postdoctoral Fellowship of Dim Math Innov Program
- Modal’X Laboratory
- University Paris Nanterre
- Temporary Teaching and Research Assistant (2016–2017)
- Modal’X Laboratory
- University Paris Nanterre
- Temporary Teaching and Research Assistant (2016–2017)
- Modal’X Laboratory
- University Paris Nanterre
- Teaching Assistant (2012–2015)
- Theoretical and Applied Statistics Laboratory
- University Pierre and Marie Curie
Skills
- Software Engineering
- Python (2/3), Jupyter Notebook, R, Matlab
- Python Libraries
- Scikit-Learn, Pandas, Numpy, Scipy, Matplotlib, Cython, TensorFlow, PyTorch
- System Administration
- GNU/Linux, MacOS X , Git, PyCharm
- Desktop Publishing
- $\LaTeX$
Publications
Talks
Apprentissage pour l’Intensité d’Événements avec Points de Rupture
46èmes Journées de Statistique de la SFdS, Rennes, France
Learning the intensity of time events with change-points
Work Group of Statistics PhD Students, LSTA-UPMC, Paris, France
Binarsity: Prédiction en Grande dimension via la Sparsité Induite par la Binarisation de Variables
47èmes Journées de Statistique de la SFdS, Lille, France
Learning high-dimensional time-varying Aalen and Cox models
48èmes Journées de Statistique de la SFdS, Montpellier, France
Around Supervised Learning with Weighted Total-Variation Penalization
Seminar of Madal'X, University Paris Nanterre, Nanterre, France
Complétion Jointe de Matrices
50èmes Journées de Statistique de la SFdS, Paris, France
Collective Matrix Completion
4th International Society for NonParametric Statistics, Salerno, Italy
Binarsity: a penalization for one-hot encoded features in linear supervised learning
Seminar of LumenAi Startup, Paris, France
Binarsity: a penalization for one-hot encoded features in linear supervised learning
AgroParisTech Seminar, Paris, France
Screening Sinkhorn Algorithm for Regularized Optimal Transport
GdR ISIS/MIA Meeting, CNRS, France
Screenkhorn: Screening Sinkhorn Algorithm for Regularized Optimal Transport
Summer School on Applied Harmonic Analysis and Machine Learning, Genoa, Italy
Binarsity : New Penalization for Supervised Learning
Séminaire CREST ENSAI, Zoom-Conference
Screenkhorn: New Algorithm for Regularized Optimal Transport
Séminaire CMAP École Polytechnique, Zoom-Conference
An application of Optimal Transport in Data Science
Séminaire Science de données de l’UTC, Zoom-Conference
Prédiction via la sparsité induite par la binarisation de variables
Séminaire Probabilités et Stats du LMM, Le Mans Université, Zoom-Conference
Teaching
Autumn 2012, Probability and Statistics
Spring 2013, Algebra and Geometry
Autumn 2013, Linear Models II
Spring 2014, Algebra and Geometry
Autumn 2015, Times Series
Spring 2016, Mathematical Statistics
Autumn 2016, Real Analysis and C2I Certificate
Spring 2017, Statistics
A20/A21/ Algébre Linéaire et Applications
A21/ Eléments de probabilités
S21/S22/ Machine Learning