Staff

Marco Baity Jesi

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Dr. Marco Baity Jesi

Group Leader (he/him)

Department Systems Analysis, Integrated Assessment and Modelling

About Me

Group of Machine Learning & Complex Systems, in the Department of Systems Analysis, Integrated Assessment and Modelling.


Check out my personal external website.


I use machine learning and statistical physics methods to address problems with large available datasets, and which involve a large number of interacting agents. I am also interested in more theoretical problems in machine learning. Examples are class imbalance and dataset shift, and 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).

Contrasting patterns and processes of biological invasions in blue versus green ecosystems
We test a big data workflow for understanding and predicting plankton dynamics using monitoring data.

Plankifier
Deep Neural Networks (DNNs) have shown empirical performance but they are still nevertheless a black-box function modeling data

Universal Aspects of Deep Neural Networks
We use machine learning methods to predict the effects of chemicals on aquatic species.

ML Tox
Activated dynamics is a very slow process that takes place on exponentially large time scales. Usually it is associated to barrier hopping.

Entropic Activation
Community detection consists of extracting the affinity between agents of a system, which is extracted from quantities such as the frequency of interactions.

Exposure

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Curriculum Vitae

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Files

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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 on

modeling, Computational methods, machine learning, data science

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Research Group

Machine Learning & Complex Systems

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