Manage day-to-day delivery of OSINT-focused analytical projects on online harms. Coordinate analysts across data collection, monitoring, analysis and reporting; review and quality-assure outputs; track timelines and risks; support methodology development; present findings to clients and improve workflows and tools.

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.

Lead Moonshot's applied AI safety portfolio, overseeing red teaming, adversarial evaluation, client relationships, team leadership, method development, and business growth across harms like extremism, CSEA, and crisis. Translate subject-matter expertise into testable evaluation frameworks, advise AI companies and regulators, ensure ethical and legal compliance, and drive portfolio strategy, funding, and external engagement.