CV

Contact: sylvain [a t] probabl.ai

You can also look into my publications, my talks, and my teaching experience in their according tabs.

Professional experience

Sep. 2024 – now	:probabl.	Machine Learning Product Engineer	Paris, France
	:probabl. is the official brand operator of scikit-learn, the reference open-source machine learning Python library. :probabl. is an Entreprise à Mission de Souveraineté Industrielle et Numérique and a spin-off of Inria. More info: Notion page. As a ML Product Engineer, I contribute to designing and developing a data scientist companion, called skore, to empower data scientists and companies in mastering their entire data lifecycle. Feel free to reach out to me or join our Discord if you are interested in such a product!
Feb. – Aug. 2024 (7 months)	École Normale Supérieure Paris-Saclay	Postdoctoral Researcher	Paris area, France
	Postdoctoral researcher at the Centre Borelli research lab under the supervision of Laurent Oudre. Role: pedagogical engineer and product manager for the BrevetAI project of SaclAI-School (DATAIA Institute), an educational platform for AI acculturation through a learning-by-doing approach, aimed at students of the University of Paris-Saclay. Team of approx. 10 members: pedagogical engineers, software engineers, and UX/UI designers.
Mar. – Aug. 2020 (6 months)	Artefact	Data Scientist intern	Paris, France
	Consulting for a major food-products corporation: demand sensing for new products with very few historical sales data ("cold start"). Links: Medium blog.
June – Sep. 2019 (3 months)	Servier	Data Scientist intern	Paris area, France
	R&D at a major pharmaceutical company: generating fictitious realistic patient data with generative adversarial networks (GANs). Links: report / slides / GitHub / Medium blog.

Education

Oct. 2020 – Jan. 2024	École Normale Supérieure Paris-Saclay	Doctor of Philosophy (PhD)	Paris area, France
	Research in machine learning and time series. Thesis title: Symbolic representations of time series [theses.fr / HAL / manuscript PDF / defense slides PDF]. Advisors: Laurent Oudre and Charles Truong, Centre Borelli (Université Paris-Saclay, CNRS, ENS Paris-Saclay). Committee: Mathilde Mougeot (Présidente), Germain Forestier (Rapporteur & Examinateur), Romain Tavenard (Rapporteur & Examinateur), Themis Palpanas (Examinateur), and Patrick Schäfer (Examinateur). 5 publications (ICDE, ICDMW, EUSIPCO, IPOL, and GRETSI) as 1st author on symbolic representations and distances between univariate and multivariate time series. My manuscript contains 2 literature reviews, 2 major contributions, 1 interactive tool (Streamlit) and 1 open-access data set. See publications. Extra activities: Lecturer at Université Paris 2 Panthéon-Assas (2021), Ecole Polytechnique Executive Education (2021-), and Ecole Polytechnique (2022-). See teaching. Supervision of a research internship for a normalien student from the Mathematics Department (Mar. - June 2022). Co-organizer of the Machine Learning and Massive Data Analysis (MLMDA) weekly seminars with external or internal speakers (2022-2023).
2017 – 2020	École des Mines de Nancy	Master of Science	Nancy, France
	Awarded the Saint-Gobain Research Excellence Scholarship 2020 for academic achievements. Big Data & Data Science track within the Department of Mathematical Engineering. Main courses: Deep learning, Machine learning, Probabilities, Programming (Python, R, MATLAB, C/C++), Statistics, Stochastic modeling, and Time series. Research projects: see past research projects. Extra activities: Basketball (captain), Forum Est-Horizon (Vice-President), and Audiovisual Club (main actor for short films).
2014 – 2017	Lycée Louis-le-Grand	Classe Préparatoire aux Grandes Écoles	Paris, France
	Intensive preparation for the national competitive entrance examinations to the Grandes Écoles (leading French Graduate Schools of Engineering). Filière PCSI/PC*: Advanced Mathematics, Physics, Chemistry, Philosophy, and English.
2011 – 2014	Lycée Louis-le-Grand	Baccalauréat général	Paris, France
	Baccalauréat (main French diploma required to pursue university studies) in Science with Highest Honors. Baccalauréat général, série Scientifique, section Orientale chinois, spécialité Sciences de l'ingénieur, avec la mention Très bien.

Past research projects

Oct. 2019 – Feb. 2020 (5 months)	University of Lorraine	Research project in Data Science	Nancy, France
	Topic: Comparison of empirical probability distributions using integral probability metrics and $f$-divergences. Links: report / slides / GitHub.
Oct. 2018 – June 2019 (9 months)	Saint-Gobain	Research project in Data Science	Paris area, France
	Topic: Anomaly detection on factory sensors using principal component analysis (PCA) and Gaussian kernel PCA. Links: GitHub.