My research combines Computer Science, Complexity Science, and the Social Sciences to develop methods to study human behavior and responsible AI technologies to tackle critical societal challenges including misinformation, democratic backsliding, emotional well-being, and privacy risks.

Collective Behavior of humans and AI agents

How collective behavior emerges in societies of humans and machines.

Computational Methods to Analyze Human Behavior

Analyzing text and digital traces to measure polarization, collective emotions, and populist rhetoric and their consequences for misinformation and inequality

Biases in Digital Traces and AI

Auditing representation in digital trace data and generative AI technologies

Affective Artificial Intelligence

Building AI that understands and respects human emotion.

Complex Privacy

Understanding the emergence of new privacy risks of the use of AI in socio-technical systems.