Presentations
Learning Single and Multiple Chaotic Systems with Minimal Reservoir Computing Machine Learning and Dynamical Systems (MLDS) Seminar Series (12/2025), Conference talk
Extending (F)Lux.jl’s Recurrent Neural Network Offerings with (Lux)RecurrentLayers.jl JuliaCon Local 2025, Paris, France (10/2025), Conference talk
On the Predictability of Vegetation Greenness with Recurrent Neural Networks MPI for the Physics of Complex Systems, Dresden, Germany (01/2025), Invited talk
On the Predictability of Biosphere Dynamics with Machine Learning Technical University Munich, Munich, Germany (10/2024), Invited talk
Using echo state networks to model vegetation extreme responses to meteorological drivers ESA Science Hub, Remote (10/2024), Invited talk
Enabling Spectral Indices Computation with SpectralIndices.jl JuliaCon 2024, Eindhoven, Netherlands (07/2024), Conference talk
SpectralIndices.jl: Streamlining spectral indices access and computation for Earth system research FOSS4G Europe 2024, Tartu, Estonia (07/2024), Conference talk
Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks EGU24 General Assembly, Vienna, Austria (04/2024), Conference talk
On Recurrent Neural Networks and Extreme Events: Application to Biosphere Dynamics ELLIS Workshop on Machine Learning for Earth and Climate Sciences, Valencia, Spain (10/2023), Invited talk
Learning Biosphere Response to Climate Drivers Using Echo State Observers Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives, Potsdam, Germany (03/2023), Poster presentation
Learning Biosphere Response to Climate Drivers Using Echo State Observers Ellis Unit Jena Kick-Off, Jena, Germany (01/2023), Invited talk
Chaotic time series predictions with ReservoirComputing.jl JuliaCon 2021, Remote (07/2021), Conference talk