Summary
Tanguy Kerdoncuff is a Data Science Researcher with 10 years of experience combining an engineering degree from Télécom SudParis and a PhD in Machine Learning focused on metric learning for Optimal Transport. He published at top venues (ICML, IJCAI, ML Journal/ECML‑PKDD) and contributed to the POT open-source Python package, bridging theoretical advances with practical tooling. Currently at Ericsson, he translates research on Optimal Transport into applied data science solutions while having taught courses from Python to probabilistic modeling. His background includes industrial internships in pharma and IT, plus hands‑on work in semantic segmentation and fraud detection, reflecting a rare mix of academic rigor and production experience. Fluent in English (Cambridge C1) and based in the Greater Lyon area, he brings deep expertise in distance learning methods with a knack for turning abstract mathematical ideas into deployable systems.
10 years of coding experience
3 years of employment as a software developer
College/University Preparatory and Advanced High School/Secondary Diploma Program, Mention très bien et admission à Telecom SudParis, College/University Preparatory and Advanced High School/Secondary Diploma Program, Mention très bien et admission à Telecom SudParis at Lycée La Martinière Monplaisir
Diplôme d'ingénieur, Mathématiques et informatique, Diplôme d'ingénieur, Mathématiques et informatique at Télécom SudParis
French, English, German