Victoria Snorovikhina

Victoria focuses on AI risk governance and AI adoption governance, with an emphasis on the interaction between human decision-making and AI systems. Her work draws on risk assessment methodologies and practices from regulated and safety-critical industries to inform AI safety and governance challenges.

Victoria has experience designing and evaluating risk governance frameworks, including regulatory-facing work. She has a technical background in machine learning and holds bachelor's and master's degrees in applied mathematics and physics, and a master's degree in data science.