I have spent the last 5 years focusing on how to make data ethics practical and widespread – specifically, designing policy, processes, reusable tooling, and control frameworks to deliver data ethics by design and at scale. This covers fairness, explainability, ethical purpose and ethical data use among other topics. I am deeply passionate about data ethics and responsible AI and want to bring awareness and understanding to audiences around the world. Most recently, I have been helping UBS to understand the risks and opportunities involved in Generative AI, leading the risk assessment across the firm.

Prior to data ethics I spent 2 years building data science development methodologies to support the scaling of data product creation.