About
After more than three years in industry as a data scientist, and more than one year as a data consultant at the World Bank. Iām currently a PhD student in Machine Learning at the University of Clermont Auvergne, with LIMOS and SFU. Iām fortunate to be supervised by Jonas KOKO, Violaine ANTOINE and Sylvain MORENO
My research activities focus on Machine Learning problems and its application in the real world. I am particularly interested in unsupervised learning with a focus on new clustering techniques such as evidential clustering, relational clustering and multi-view or collaborative relational clustering. My applications include longitudinal data and uncertain data.
Research interests:
- Unsupervised Learning for Uncertain data
- Unsupervised Learning for longitudinal data and trajectories analysis
- AI and DevOps application in Health
- Big data analysis
- Web scraping/scrawling and NLP
- MLOps application in Health
- Interactive data visualisation for software engineering
- Statistical computing and Exploratory data analysis
Here, take a look at my stuff 
- āØ I like TensorFlow, Scikit-Learn, Keras, Rshiny, Django, Flask frameworks
- š° I try to maintain this Data Science Blog DataScience & AI Blog
- š I wrote web scraping with R
Last news
- šØš¾āš« Workshop : Extraction et Gestion des Connaissances (EGC), 2024-01
- šØš¾āš« Abstracts : 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, CFE-CMStatistics 2023, 2023-12
- šØš¾āš« Seminars : Extraction et Gestion des Connaissances (EGC), 2023
- š Paper : Classification automatique de series chronologiques de patients souffrant de douleurs chroniques, Revue des Nouvelles Technologies de Information, 2023
- š School : Autumn School in Artificial Intelligence - AI2, 2022
