Some sample projects include:
Patricia Paskov is the Director of Standards at AVERI, Adjunct Researcher at RAND, and Research Affiliate at the Oxford Martin AI Governance Initiative. Her research on frontier AI evaluations and governance has appeared in top machine learning venues including ICML, Science, and FAccT and policy venues including Carnegie, RAND, and The World Bank and has been covered by media outlets including Al Jazeera, the Financial Times, Fortune, MIT Technology Review China, and TIME. She led the Resilience section of the 2026 International AI Safety Report, co-founded NYC AI Governance & Safety, and serves as Faculty at the International Programme on AI Evaluation. As of Fall 2026, she is a DPhil candidate in Engineering Science at the University of Oxford. Previously she built machine learning models at Condé Nast and designed large-scale randomized controlled trials with the World Bank and Innovations for Poverty Action. She completed degrees in economics at the University of Wisconsin–Madison, the Barcelona School of Economics, and the European University Institute.
Miles Brundage serves as Executive Director at AVERI, where he sets AVERI’s strategic direction, leads the team and builds partnerships to advance AVERI’s mission of making third party auditing of AI systems effective and universal. Previously, Miles led the Policy Research and AGI Readiness teams at OpenAI, and before that he was a Research Fellow at the University of Oxford's Future of Humanity Institute. In addition to leading AVERI, Miles is a Non-Resident Senior Fellow at the Institute for Progress, a member of the AI Governance Forum at the Center for a New American Security, an advisor to Epoch AI and the RAND Corporation, and he writes regularly on Substack. Miles completed a Ph.D. in Human and Social Dimensions of Science and Technology from Arizona State University in 2019, and worked at the US Department of Energy's Advanced Research Projects Agency -- Energy (ARPA-E) before beginning his graduate studies.
The Winter 2026 cohort offers a wide range of research streams led by experts across AI alignment, interpretability, governance, and safety. Each stream provides its own research agenda, methodology, and mentorship focus.