Published award-winning research at venues including CHI, CSCW, FAccT, and AIES; Research supported by the UC Berkeley Center for Long-Term Cybersecurity and featured in WIRED, MIT Technology Review, and Harvard Business Review; Provided input on artificial intelligence policy to the Mayor's office of New York City, the White House Office for Science and Technology Policy, Canadian Parliament, and the UN.
Research Experience
Worked, consulted, and collaborated with research centers across academia and industry including the Princeton Visual AI Lab, Parity.AI, Perceptive Automata, Harvard Business School, MIT, and Google.
Education
PhD: Columbia University; Postdoctoral Fellowship: Princeton University; Advisor information not provided.
Background
Research Interests: AI risk assessment, trust and safety; Fields: Human-computer interaction, STS, usable security; Background: Works in internal AI risk assessment, conducts empirical research on trust and safety in intelligent systems. Focuses on model safety, recommends safety mitigations and processes for compliance with regulation.