Big Science Data
In close collaboration with the prestigious Paul Scherrer Institute, the SDSC team leverages big data from large-scale research infrastructures. We drive innovation and advance scientific discovery in particle physics, tomographic microscopy, and neurosciences.
Projects
ML4FCC
In Progress
Machine Learning for the Future Circular Collider Design
Big Science Data
SMARTAIR
In Progress
Self-guided machine learning algorithms for real-time assimilation, interpolation and rendering of flow data
Big Science Data
MLATEM
In Progress
Machine Learning tools for Analytical Transmission Electron Microscopy
Big Science Data
COVID19
In Progress
Epidemic Forecasting
Biomedical Data Science
Big Science Data
Digital Administration
PACMAN LHC
In Progress
Particle Accelerators and Machine Learning
Big Science Data
PACMAN HIPA
In Progress
Particle Accelerators and Machine Learning
Big Science Data
MSEI
In Progress
Molecular structure elucidation by integrating different data mining strategies
Big Science Data
Neuro-choice
In Progress
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biomedical Data Science
Big Science Data
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Big Science Data
Energy, Climate & Environment
COMMIT
Completed
Context-Aware Mobility Mining Tools
Big Science Data
Digital Administration
Energy, Climate & Environment
BISTOM
Completed
Bayesian Parameter Inference for Stochastic Models
Big Science Data
DLOC
Completed
Deep Learning for Observational Cosmology
Big Science Data
DeepMICROIA
Completed
Deep learning for TOMCAT imaging
Biomedical Data Science
Big Science Data
Other domains
Data Science per domain
Our scientists’ expertise is applied daily to a wide variety of domains and applications.
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