Lead Moonshot's applied AI safety portfolio, conducting red teaming and adversarial evaluation across online-harm categories, advising AI companies and regulators, managing clients and staff, and growing the portfolio through methodology, business development, and external engagement.

Supports the technical implementation, management, monitoring, troubleshooting, and optimization of paid digital advertising campaigns across search engines, social media, and alternative platforms. Analyzes campaign, keyword, audience, and engagement data; produces performance reports; tests advertising assets; supports measurement, quality assurance, campaign spend tracking, and project reporting. Collaborates with campaign managers and multidisciplinary teams to reach niche audiences related to violence prevention and online harms.

Conduct red teaming and adversarial evaluations of AI systems across violence, extremism, child safety, grooming, crisis, and other harm categories. Design evaluation frameworks, test scenarios, scoring criteria, taxonomies, and interventions that translate real-world harm expertise into structured technical outputs. Review model responses, exercise expert judgment, and produce methodology and findings for technical and government audiences while meeting ethical, legal, contractual, and data protection obligations.