Summary
Théo Jourdan is a postdoctoral researcher with 12 years of experience at the intersection of machine learning, human-computer interaction, and music technology, currently based in Paris. He develops interactive neural sound synthesis tools that reframe model training as a collaborative, real-time creative process in partnership with musician collectives and IRCAM. His background spans privacy-preserving ML for healthcare, federated learning, and accessible digital musical instruments co-designed for people with disabilities, reflecting a blend of technical depth and social sensitivity. He holds a PhD-level research record from Inria and engineering training in bioinformatics from INSA Lyon and KTH, grounding his work in signal processing and applied ML. Théo also experiments with proof assistants and dependent types, signaling a taste for formal methods alongside empirical research. Colleagues describe him as someone who intentionally designs technology to respect cultural sources and amplify diverse musical practices rather than homogenize them.
12 years of coding experience
2 years of employment as a software developer
Master's degree, Bioinformatics, Master's degree, Bioinformatics at KTH Royal Institute of Technology
Diplôme d'ingénieur en Bioinformatique et Modélisation, Bioinformatics, Diplôme d'ingénieur en Bioinformatique et Modélisation, Bioinformatics at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Spanish, English, French