She specialised in the means to assess and communicate AI mechanisms, error, and bias. Her interests and experience span from statistical methods, to fairness, explainability, visualization, and design. She thrives to enable data-driven systems that are more responsible, ethical, transparent, and made accessible to a large public with or without technical background.