Scientific machine learning

Learning Spatial Ecological Networks from Geolocated Molecular and Earth Observation Data
Preprint
Submitted to the Conference on Neural Information Processing Systems (NeurIPS) 2026, Tackling Climate Change with Machine Learning workshop.
A calibration framework to improve mechanistic forecasts with hybrid dynamic models
Peer-reviewed
A calibration framework to improve mechanistic forecasts with hybrid dynamic models
Differentiable Programming for Differential Equations: A Review
Peer-reviewed
Accepted at SIAM Review.
Temporal horizons in forecasting: a performance-learnability trade-off
Peer-reviewed
Forward and inverse modelling of eco-evolutionary dynamics in ecological and economic systems
Book/report
Forward and inverse modelling of eco-evolutionary dynamics in ecological and economic systems