Projects
Current Projects
Locally Private Representation Learning for Responsible Artificial Intelligence
Role: Principal and Unique Investigator
Scope: Learning locally private representations for responsible artificial intelligence.
Responsible AI: Design, Regulation, and Conformity (RAIDAC+)
Role: Co-Chair with Prof. Theodore Christakis
Scope: Building accountable and compliant AI systems by bridging legal, regulatory, and technical dimensions of Responsible AI.
Aligning Privacy, Utility, and Fairness for Responsible AI (AI-PULSE)
Role: Principal Investigator
Scope: Studying fundamental trade-offs between privacy, fairness, and machine learning performance; designing new methods to enforce all three simultaneously.
Algorithmic Auditing of Privacy and Fairness (AUDIT-PAIR)
Role: Principal Investigator (Inria side)
Scope: Cross-continent collaboration on tools and methods for auditing AI systems under privacy and fairness constraints.
Past Projects
Exploring the Interplay of Differential Privacy and Fairness in ML
Role: Principal Investigator
Scope: Empirical and theoretical analysis of fairness–privacy interaction in real-world ML scenarios.