Lazaro Alonso
Lazaro Alonso is a Mexican physicist currently working at the Max Planck Institute for Biogeochemistry in the Model Data Integration Group. Interested in Hybrid Model-Based approaches to climate sciences as well as scientific visualization. Other interests of his are complex networks, graph neural networks and time series analysis.
He is a coauthor of the Julia Data Science book and main contributor to the gallery https://beautiful.makie.org/ and contributes as much as possible to open source in his spare time if any.
Session
Sindbad.jl currently serves as an internal modular framework for model-data integration at the Max Planck Institute for Biogeochemistry. It supports various methods for water-carbon coupling and vegetation dynamics. All definitions are compatible with automatic differentiation, enabling hybrid modeling approaches. Specifically, these approaches preserve the physics-based models while utilizing neural networks to optimize quantities of interest.