Staff

Marco Baity Jesi

About Me

Head of the group Data Science for Environmental Research, at the  Department of Systems Analysis, Integrated Assessment and Modelling.


I use machine learning and statistical physics methods to tackle problems with large available datasets, and which involve a large number of interacting agents. I am also interested in the interaction between dynamics and energy / loss function landscape in systems with a large number of variables, ranging from toy models to deep neural networks.

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Projects

We compare invasions in aquatic and terrestrial ecosystems primarily at large (national) spatial scales and among several higher-level taxa (insects, molluscs, crustaceans, all major vertebrate classes, and plants).
We test a big data workflow for understanding and predicting plankton dynamics using monitoring data.
Deep Neural Networks (DNNs) have shown empirical performance but they are still nevertheless a black-box function modeling data
Activated dynamics is a very slow process that takes place on exponentially large time scales. Usually it is associated to barrier hopping.
We use machine learning methods to predict the effects of chemicals on aquatic species.
Community detection consists of extracting the affinity between agents of a system, which is extracted from quantities such as the frequency of interactions.

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Curriculum Vitae

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Address

E-Mail: marco.baityjesi@eawag.ch
Phone: +41 58 765 5793
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: FC D03

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Expert of

modeling, Computational methods, machine learning, data science

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Research Group

Data Science for Environmental Research

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