François Bailly is a scientific researcher and postdoctoral expert in humanoid robotics and biomechanics with a decade of experience bridging neuroscience, biology and engineering. Based at Inria in Montpellier, he combines deep academic training from École Normale Supérieure with hands-on research roles across LAAS-CNRS and Université de Montréal to study human movement, state estimation and locomotion stability. He contributes to fast optimal-control tooling in open source—extending the widely used acados solver to support external CasADi functions and shared libraries—bringing practical software engineering to computationally demanding research. Fluent in applied mathematics and modeling, François blends theoretical insight with reproducible engineering to translate biological principles into robotic control.
Fast and embedded solvers for nonlinear optimal control
Role in this project:
Back-end Developer
Contributions:6 commits, 1 PR, 6 comments in 5 days
Contributions summary:François contributed significantly to the `acados` project, primarily focusing on extending its capabilities to integrate external CasADi functions within the model definition. Their commits involve modifying the `AcadosOcp` and `AcadosCasadiOptions` classes to handle external shared libraries and incorporating a new example to demonstrate the usage. Furthermore, the user made modifications to the build system and examples to support the inclusion of external libraries. These changes enhance the solver's flexibility and integration with external dependencies.
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