Department Systems Analysis, Integrated Assessment and Modelling

Data Science for Environmental Research


We use machine learning and statistical physics methods to tackle problems with large available datasets, and which involve a large number of interacting agents.

Ongoing research projects include:

  • Exploring the impact of toxines on aquatic organisms, predicting the effect of untested toxines on the species, guiding toxicological assessments.
  • The creation of a giant labeled dataset of plankton images and using it to infer the interactions among organisms, and between organisms and environment.
  • The study of the long-time dynamics of high-dimensional systems, from toy models, to deep neural networks and ecosystems.

 

Contact

Dr. Marco Baity JesiTel. +41 58 765 5793Send Mail