Alessandro Mari
Data Scientist
Academia
(Alumni)
Alessandro holds an M.Sc. in Applied Mathematics from EPFL with a minor in Data Science. After his studies, he joined the SDSC as Data Scientist in April 2022, where he closely works with the academic community to enlarge and support the use of data science. Over the years he worked on a variety of topics, from extreme events modeling to time series representation. His main interest lies in the application of machine learning to the energy sector.
Projects
FastPlasmaSim
In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Energy, Climate & Environment
PolyNet
Completed
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science
Publications
Mentioned in
Case Studies
Public Sector
Modelling the end-user Swiss electricity consumption
Leveraging Data for Energy Transformation: How Data Science can support Swiss Energy Policies?
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