Guillaume Obozinski
Deputy Executive Director & Chief Data Scientist
Academia
Leadership & Administration
(Alumni)
Guillaume Obozinski graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.
Projects
ML4FCC
In Progress
Machine Learning for the Future Circular Collider Design
Big Science Data
4D-Brains
In Progress
Extracting activity from large 4D whole-brain image datasets
Biomedical Data Science
AURORA
In Progress
from Air pollUtion souRces tO moRtAlity
Biomedical Data Science
Energy, Climate & Environment
PolyNet
In Progress
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science
NLP
In Progress
Narratives in Law and Politics: A Computational Linguistics Approach
Digital Administration
4Real
In Progress
Real-time urban pluvial flood forecasting
Energy, Climate & Environment
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
EXPECT
In Progress
EXtending the PrEdiCTability of the Atmosphere over Europe
Energy, Climate & Environment
SenseDynamics
In Progress
Predicting aerodynamics forces from sensor data
Energy, Climate & Environment
DEAPSnow
In Progress
Improving snow avalanche forecasting by data-driven automated predictions
Energy, Climate & Environment
PACMAN LHC
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
EconMultiplex
In Progress
Multiplex Networks in International Trade
Digital Administration
Neuro-choice
In Progress
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biomedical Data Science
Big Science Data
DASH
In Progress
DAta Science-informed attribution of changes in the Hydrological cycle
Energy, Climate & Environment
Publications
Mentioned in
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.
October 9, 2023
DEAPSnow | AI for avalanche forecasting
DEAPSnow | AI for avalanche forecasting
“DEAPSnow”, a project by the Swiss Data Science Center (SDSC) and the WSL Institute for Snow and Avalanche Research SLF, developed an Artificial Intelligence (AI) to support avalanche forecasters in creating the avalanche bulletin. This product provides essential information about the prevailing snow and avalanche conditions in the Swiss Alps and the Jura.
February 21, 2023
Major Swiss research institutes join forces for strong data science
Major Swiss research institutes join forces for strong data science
A framework agreement was signed by the Swiss Federal Institutes of Technology, the CHUV, and UNIL to establish a common base of expertise in the area of data science and serve projects in the healthcare sector.
Case Studies
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