Marco Baity-Jesi (he/him)
I am a theoretical physicist and the leader of the Machine Learning & Complex Systems Group at Eawag, the Swiss Federal Institute of Aquatic Science and Technology.
My work bridges theory and application of machine learning. On the theoretical side, I investigate how suboptimal data can influence the quality of AI software. On the side of applications, I apply these insights to environmental challenges, such as monitoring plankton populations and assessing chemical toxicity on aquatic species.
Most importantly, I believe that science should be at the service of improving peoples’ lives, reducing inequality and protecting the environment, and that scientists should push for it to serve this purpose.
Research interests
- Application of machine learning to:
- Ecological risk assessment. Using AI as an alternative to animal testing.
- Monitoring of ecosystems. AI software for automated biodiversity monitoring.
- Ecological forecasting. Prediction of harmful algal blooms in lakes.
- Rainfall runoff prediction.
- Theory of machine learning applied to:
- How the data can bias AI systems.
- How the model architecture can bias AI systems.
- How the training of machine learning models works.
- Theory of complexity applied to:
- Ecology. Emergent behaviors in ecological communities with a large number of species.
- Machine Learning. Statistical physics of disordered systems to understand the typical behavior of neural networks.
Further activities
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Advocacy for recognizing the political dimensions of Science:
- Advocacy for human rights, equal opportunities and non-militaristic approaches:
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Grassroots community organizing:
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Workers representation:
- Scientific staff representative at Eawag.
Career path
Click
here for my full CV.