I am a French Engineer and Master in the 3rd year of my Ph.D. studies in data science.
My favorite languages are Python 3 and mathematics. I believe in open source and public data to leverage innovation and human development. Contact me at firstname.lastname@example.org.
From Nov. 2018. Medical Data Science Ph.D. Student QuantIF, AQUILAB and Henri Becquerel Center. France. Topic—Research of radiomics signatures in head-and-neck and pulmonary cancers treated with radiotherapy based on machine learning approches.
March – Aug. 2018 (6 months). Computer Science Research Intern. INRIA Lille, MAGNET team. Lille, France. Topic—Improvement of GOPA, a privacy-preserving algorithm for distributed averaging over P2P networks. Robustness was provided against users disconnections and malicious adversaries.
Jan. 2017 – Jan. 2018 (1 year). Lead Junior Python Developer in ISO9001:2015 Certified INSA Project, Unicancer Innovation Award 2017: Management and Research Award. Henri Becquerel Center and INSA Rouen, Department of Information Systems Architectures. Rouen, France. Topic—Conception and development of a Python GUI for the segmentation of cancer patients’s CT scans. Automation of the process thanks to Keras-implemented deep and fully convolutional networks.
June – Aug. 2017 (3 months). Data Science R&D Intern. Vekia. Lille, France. Topic—Development of a Python module for detecting suspicious stocks—phantom inventories—with machine learning techniques.
July 2013 (4 weeks). Production Workman Intern. Ressorts Masselin. Le Petit-Quevilly, France. Topic—Cold springs rolling, grinding, shot peening, quality controlling and packaging.
July 2012. French Baccalaureate of Sciences, Magna Cum Laude, Specialization in Earth and Life Sciences. French School Abroad Montaigne. Cotonou, Benin.
Feb. – May 2017. Speed Data Scientist 2017: Failures Detection Challenge, 4th and Best Presentation Award. Société Générale. Paris, France.
Jan. – June 2016. Scientific and technological support in primary school: An introduction to robotic programming for children. Primary School Gérard Philipe and INSA Rouen. Amfreville-la-Mi-Voie, France.
March. 2020. Screening tests, Bayes’s theorem and COVID-19. A Python Jupyter notebook on how to interpret your COVID-19 test’s results and how to estimate the spread of the epidemic using the theory of screening tests.
Nov. 2017. – Feb. 2018. gflsegpy: A Python 3 implementation of the group fused Lasso for multiple change-point detection. This project implements the group fused Lasso (GFL) of Bleakley and Vert, 2011: A method to detect breakpoints in multidimensional signals. The gflsegpy package provides an implementation of two GFL algorithms plus a demo script and a data visualization module.