Jordi Bolibar
Research Scientist at CNRS
Grenoble, Auvergne-Rhône-Alpes, France
Summary
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Senior🎓
Top SchoolJordi Bolibar is a CNRS Research Scientist based in Grenoble who combines eight years of experience in glaciology, hydrology and scientific machine learning to study large-scale climate–glacier interactions. With a PhD from Université Grenoble Alpes and postdoctoral work at TU Delft and Utrecht University, he develops deep-learning glacio-hydrological models to assess past and future alpine glacier evolution. He began his career as a software engineer, bringing robust C++ and full-stack development experience to research code and reproducible workflows. Jordi’s work bridges rigorous field-focused earth science and modern ML methods, enabling scalable climate impact analyses. Fluent in both academic and production software practices, he uniquely blends domain expertise with engineering discipline to turn complex climate data into actionable insights.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Glaciology / Hydrology, Doctor of Philosophy - PhD, Glaciology / Hydrology at Université Grenoble AlpesInnovative Engineering Coaching Summer School, ENGINEERING, Innovative Engineering Coaching Summer School, ENGINEERING at Universitat Autònoma de BarcelonaUPC Universitat Politècnica de CatalunyaMaster in Networks, Services and Systems, Telecommunications, Master in Networks, Services and Systems, Telecommunications at Kungliga tekniska högskolan / KTH Royal Institute of Technology
Catalan, Spanish, English, French
Github Skills (106)
ode10
deep-learning10
pde10
gradient10
julia10
ordinary-differential-equations10
automatic-differentiation10
scientific-machine-learning10
differential-equations10
control-flow10
r9
sensitivity9
micromamba9
stochastic-processes9
stochastic-differential-equations9
Programming languages (8)
Github contributions (5)
JordiBolibar/ODINN.jl
Apr 2023 - Apr 2025
Global glacier model using Universal Differential Equations for climate-glacier interactions
Contributions:144 pushes, 11 branches in 2 years
JordiBolibar/ODINN_toy
Feb 2022 - Apr 2023
Toy model with raw implementation of glacier dynamics Universal Differential Equations (UDEs)
Contributions:27 PRs, 95 pushes, 10 branches in 1 year 1 month
equationsuniversal-differential-equationstoyglacierdynamics
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