Private and Fair Data Generation

Generate data in a Differentially Private manner that is faithful to the private data and also satisfies fairness and integrity constraints.

Causal inference usage in data analysis

Employ causal inference principles to enhance and improve data analysis capabilities.

Data Quality Assessment and Repair

Develop approaches for assessing data quality and bias, and devise algorithms to repair the data.