Dimitri Rodarie is a computational neuroscientist and software-savvy postdoctoral researcher with 11 years of experience building pipelines that reconstruct, simulate and refine point‑neuron brain models from biological data. He has driven multiscale cerebellar modeling efforts across projects at EPFL, CREF and the University of Pavia—combining database design, large‑scale simulation, and closed‑loop neurorobotics to test hypotheses about pathology-driven circuit dynamics. A pragmatic developer, he contributes to the NEST simulator—fixing model units, state initialization and RNG issues—bringing research code to production quality. Dimitri blends neuroscience rigor with engineering discipline, routinely translating detailed circuit data into scalable point‑neuron models and validation suites. Based in Auvergne‑Rhône‑Alpes, he pairs a computer engineering and AI background with a neuroscience PhD to bridge biological realism and computational tractability.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Université Claude Bernard Lyon 1
Thèse de doctorat, Neuroscience, Thèse de doctorat, Neuroscience at Ecole polytechnique fédérale de Lausanne
Computer Engineering, Computer Engineering at Polytech Lyon
Contributions:5 commits, 1 PR, 5 comments in 4 months
Contributions summary:Dimitri primarily focused on improving the `gif_cond_exp_multisynapse` model within the NEST simulator, correcting unit inconsistencies and state initialization issues. They also fixed an issue in the `quantal_stp_connection` model, addressing a problem related to random number generation. Furthermore, the user integrated reviews, adjusting names and units throughout the codebase and updated formatting.
Helps component developers build tests for BSB components
Contributions:1 release, 4 reviews, 7 PRs in 1 year 1 month
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Dimitri Rodarie - Postdoctoral Researcher at Università di Pavia