Victor Boussange
Victor Boussange
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On combining machine learning-based and theoretical ecosystem models
In this post, I explore the benefits and drawbacks of using empirical (ML)-based models versus mechanistic models for predicting ecosystem responses to perturbations, and further develeop a hybrid approach combining their strengths.
Victor Boussange
Mar 31, 2023
14 min read
Inverse ecosystem modeling made easy with PiecewiseInference.jl
This blog post discusses the use of PiecewiseInference.jl, a Julia package that enables the use of machine learning to fit complex ecological models on ecological dataset.
Mar 26, 2023
11 min read
Parameter Inference in dynamical systems
One of the challenges modellers face in biological sciences is to calibrate models in order to match as closely as possible observations and gain predictive power. Scientific machine learning addresses this problem by applying optimisation techniques originally developed within the field of machine learning to mechanistic models, allowing to infer parameters directly from observation data.
Victor Boussange
Jan 9, 2021
6 min read
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