Soda - Inria

Inria Saclay team doing research at the intersection between machine-learning, databases, and quantitative social sciences (eg empirical economy, epidemiology…). The Soda team is a spin-off from the Parietal team, located in Inria Saclay. Research axes are- Representation learning for heterogeneous databases - Learning despite database normalization errors - Tabular deep learning - Data-science with statistical learning - Statistical learning with missing values - Machine learning for causal inference - Health and Social Sciences - Electronic health records - Epidemiological cohorts - Educational data mining - Turn-key machine-learning tools for socio-economic impact - Helping to maintain and grow tools such as scikit-learn, joblib…