Alessandro Maissen
Data Scientist
Academia
(Alumni)
Before joining the SDSC as a Data Scientist in April 2023, Alessandro obtained his master’s degree in Computer Science with a focus on Machine Learning from ETH Zurich. In his master’s thesis, he worked on a joint project by the SDSC and the SLF Davos in which he automated the process of avalanche danger forecasting in the Swiss Alps using state-of-the-art machine learning techniques. In his free time, Alessandro loves alpine sports like ski-touring, climbing, and mountaineering.
Projects
EAGLE
In Progress
Enhanced understanding of Alpine mass movements Gathered through machine LEarning
Energy, Climate & Environment
DAAAD_Bridges
Completed
Domain-aware-AI Augmented Design of Bridge Structures
Energy, Climate & Environment
SEMIRAMIS
Completed
AI-augmented Architectural Design
Energy, Climate & Environment
DEAPSnow
Completed
Improving snow avalanche forecasting by data-driven automated predictions
Energy, Climate & Environment
Publications
Mentioned in
March 6, 2024
RAvaFcast | Automating regional avalanche danger prediction in Switzerland
RAvaFcast | Automating regional avalanche danger prediction in Switzerland
RAvaFcast is a data-driven model pipeline developed for automated regional avalanche danger forecasting in Switzerland. It combines a recently proposed classifier for avalanche danger prediction at weather stations with a spatial interpolation model and a novel aggregation strategy to estimate the danger levels in predefined wider warning regions, ultimately assembled as an avalanche bulletin.
October 25, 2023
Computerworld | AI predicts avalanche danger [In German]
Computerworld | AI predicts avalanche danger [In German]
The AI project "DEAPSnow" takes avalanche forecasting to a whole new level.
Case Studies
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