Aina Rasoldier is a postdoctoral researcher and computational sustainability specialist with eight years of experience at the intersection of IT, AI and environmental impact analysis. Based in Grenoble, she models electricity demand and designs residential energy flexibility simulators to support renewable integration while quantifying trade-offs between predictive controls and non‑AI measures. Her PhD and research at Inria explored how digital platforms, notably regular carpooling in the Grenoble region, affect environmental outcomes, and she has extended that lens to AI services like MPC for HVAC. Comfortable moving between code, data-driven modeling and lifecycle-style impact assessment, she combines strong engineering training from INSA Lyon and LMU with practical consulting experience in simulation standards (OSI). Notably, she brings a systems-level perspective—linking mobility, digital infrastructure and district-scale energy dynamics—to make AI and software choices accountable for their environmental footprint.
8 years of coding experience
1 year of employment as a software developer
Doctorat Informatique, Doctorat Informatique at Université Grenoble Alpes
Master's degree Medieninformatik Bioinformatik Data Science Computer Sciences, Master's degree Medieninformatik Bioinformatik Data Science Computer Sciences at Ludwig-Maximilians-Universität München
Baccalaureate Sciences, Baccalaureate Sciences at Jean Vilar High School
Engineer's degree Informatique, Engineer's degree Informatique at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Open source routing engine for OpenStreetMap. Use it as Java library or server.
Contributions:29 pushes, 1 branch in 1 year 7 months
nominatimjava-librarydijkstramap-matchingrouting
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