π Hi there, Iβm Letizia Lamperti
π¬ Postdoctoral Researcher in ecological and genomic modelling at CNRS, Grenoble (France).
π PhD in Machine Learning for marine biodiversity monitoring through eDNA metabarcoding β a joint project between CEFE (Montpellier) and ETH Zurich, under the AI4TheSciences program (PSL University).
π Background: Mathematical Engineering, with a passion for applying data science to environmental challenges.
π Research Interests: Machine Learning, Applied Mathematics, Deep Learning β especially in the context of Oceanography, Ecology, and Climate Change.
βοΈ Contact: le.lamperti@gmail.com
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README-cheatsheet
README-cheatsheet PublicForked from ritaly/README-cheatsheet
Template for a clear GitHub README (markdown)
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Alessandro-Franchini/Bayesian-Deep-Learning-Clarotto-Franchini-Lamperti
Alessandro-Franchini/Bayesian-Deep-Learning-Clarotto-Franchini-Lamperti PublicIn this project we aim at comparing a Bayesian Neural Network trained with Hamiltonian Monte Carlo and a MC Dropout Neural Network focusing on regression problems
Jupyter Notebook 4
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