Bio

I was born in 1994 in Nancy (France). In 2017, I received a general engineering degree from the Ecole Centrale de Lyon (France) and a M.Sc. degree in Automatic Control from Université de Lyon Claude Bernard and Ecole Centrale de Lyon (France).

Between October 2017 and September 2020, I was a Ph.D. student at Laboratoire Ampère, Ecole Centrale de Lyon (Ecully, France) under the supervision of Xavier Bombois (CNRS research director, Laboratoire Ampère, Ecole Centrale de Lyon) and Laurent Bako (Associate professor, Laboratoire Ampère, Ecole Centrale de Lyon). I worked on several research themes related to system identification: prediction error identification, linear system identification, data informativity analysis, experiment design, networked systems, MEMS gyroscope modeling and block-oriented system identification. I graduated as Ph.D. on September 17th 2020.

Since October 2020, I have worked as a postdoctoral researcher at the division Decision and Control Systems at KTH Royal Institute of Technology (Stockholm, Sweden) with a close collaboration with the Competence Centre for Advanced BioProduction by Continuous Processing, AdBIOPRO. My current research work at KTH includes system identification, data informativity for networked linear systems, regret minimization in adaptive control, Bayesian estimation, physics-informed machine learning and mammalian cell-kinetics identification. I mainly work with Håkan Hjalmarsson (Professor, KTH Royal Institute of Technology), Véronique Chotteau (Associate professor, KTH Royal Institute of Technology and director of AdBIOPRO) and Elling W. Jacobsen (Professor, KTH Royal Institute of Technology).

Key-words of my research activities: system identification, prediction error methods, physics-informed machine learning, Bayesian estimation, linear systems, networked systems, nonlinear systems, data informativity, experiment design, regret minimization in adaptive control problems, metabolic engineering modeling, MEMS gyroscope modeling