Publications in top venues including Science Advances and ICML.
Recipient of the Nathan McCoby Outstanding Dissertation Award.
Awarded multiple fellowships and impact grants.
Work featured in WIRED and other major news outlets.
Co-authored the report of the Joint California Policy Working Group on AI Frontier Models.
Provided inputs to EU policy drafts and published popular press articles explaining key findings.
Research Experience
Co-leading a project at Stanford’s Center for Research on Foundation Models (CRFM) providing guidance for third-party AI evaluation.
Led a research project as part of the Facebook and Instagram Election Study (academic-industry collaboration with Meta), analyzing deceptive online networks using log and survey data from millions of U.S. Facebook users.
Co-developed an effective and scalable online game that increases resilience to vaccine misinformation.
Working on large-scale evaluation of lab-tested misinformation interventions on Facebook.
Core contributor to a large panel study introducing the 'empathy perception gap' concept and designing smartphone-based and educational interventions to improve social connection.
Former Quantitative UX Research Intern at Google, Research Associate at Duke University, and Intern at the EU Delegation to the UN in New York.
Background
An award-winning researcher combining deep technical expertise in AI and empirical social science to shape safe and responsible technology development and policy.
Currently a Stanford Impact Labs Postdoctoral Fellow at Stanford University.
Research focuses on the societal impact of AI and social media and on developing evidence-based approaches to technology governance.
Integrates insights from computer science, political science, psychology, and economics, using computational and experimental methods to analyze large-scale datasets.
Particularly passionate about addressing governance and ethics challenges, preventing misinformation and election interference, and promoting wellbeing.