Data Science Projects

Our Collaborative Data Science Projects represent the diversity of the research and innovation undertaken in data science and AI within the ETH Domain, with scientific partners and with private and public sector stakeholders.

Physics
Engineering
Biology
Chemistry
Climate & Environment
Health & Biomedical
Digital Society
Energy & Sustainability
Large-scale Infrastructures
Other
Academia
NGO/IO
Private sector
Public sector
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DUPLET

In Progress
DUal Positron Lifetime Emission Tomography
Health & Biomedical
Academia

EvolvingDemocraSci

Completed
Advancing parliamentary data analysis
Digital Society
Academia

ML-ED

Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
Academia

DIMPEO

Completed
Detecting drought impacts on forests in earth observation data
Climate & Environment
Academia

FastPlasmaSim

In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Large-scale Infrastructures
Academia

SPEED2ZERO

In Progress
Sustainable pathways towards net zero Switzerland
Climate & Environment
Academia

CHIP

In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
Academia

EAGLE

In Progress
Enhanced understanding of Alpine mass movements Gathered through machine LEarning
Climate & Environment
Academia

DrSCS

Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Health & Biomedical
Academia

MLfusion

In Progress
Machine Learning for Disruption Prediction in Tokamaks
Large-scale Infrastructures
Academia

WATRES

Completed
A Data-Driven approach to estimate WATershed RESponses
Climate & Environment
Academia

RED-ML

Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
Academia

DeepDown

Completed
Multivariate climate downscaling using deep learning models
Climate & Environment
Academia

EXPECTmine

Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Climate & Environment
Academia

ML4FCC

Completed
Machine Learning for the Future Circular Collider Design
Large-scale Infrastructures
Academia

CLIMIS4AVAL

Completed
Real-time cleansing of snow and weather data for operational avalanche forecasting
Climate & Environment
Academia
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.