You can download my CV in PDF format here .

Current Position

[Dec. 2024 – Nov. 2026] Postdoctoral Researcher at Laboratoire Méthodes Formelle (UMR 9021)
Position is funded by PEPR IA – SAIF project

Advisors: Benedikt Bollig, Matthias Függer, Thomas Nowak

Research topic: Scalable and explainable machine-learning methods for parameter estimation in chemical reaction networks (CRN) modeling bacterial growth in bioreactors.

Qualification

Qualification for Maître de Conférences, CNU Section 27, Valid 2025–2029

Education

[Oct. 2021 – Sep. 2024] PhD in Computer Science, Université de Rennes – CNRS / IRISA (UMR 6074)

Thesis defended: 27 September 2024
Title: Hybrid Satisfiability Methods for the Inference of Boolean Regulatory Rules Controlling Metabolic Networks
Supervisors: Anne Siegel, Loïc Paulevé
Jury: François Fages, Simon de Givry, Emmanuelle Becker, Misbah Razzaq, Laurent Tournier

[2018 – 2021] Research-Oriented Master’s Degree in Computer Science at ENS Rennes

[2019 – 2021] Master’s Degree in Computer Science at Université de Rennes 1

Dissertation: Inferring Boolean regulatory rules controlling hybrid biological models

[2015 – 2019] Bachelor’s Degree in Computer Science at Université de Rennes 1

Academic Service

[2024] Reviewer for CMSB24

[2023] Co-organizer and chairman of session Operational Research in Bioinformatics at ROADEF 2023

[2021 – 2023] Organizer of monthly seminars of Data Knowledge Management department at IRISA, Rennes

Teaching [2021 – 2024]

Responsibilities included exam design, project supervision, and grading.

[M1 Computer Science, TP] Operations Research, Université de Rennes – 24h ETD
Designed all TP subjects and scripts

[L3 Computer Science, TD] Graph Modeling and Algorithms, Université de Rennes – 20h ETD
Upgraded all TD subjects

[L3 Computer Science, TD] Logic, Université de Rennes – 12h ETD

[L3 Mathematics, TD] Introduction to Algorithms, ENS Rennes – 20h ETD

[L1 Computer Science, TP] Programming, Université de Rennes – 20h ETD