My current research centres on human-and-model-in-the-loop learning and data-centric alignment of AI. I am passionate about the societal impact of AI systems, focusing on the role that dataset generation, curation and labelling has on value alignment in large-scale foundation models.
My body of published work spans computational linguistics, economics, ethics and sociology, addressing a broad range of issues such as alignment, bias, fairness and hate speech from a multidisciplinary perspective. Alongside academia, I collaborate often with industry. Previously, I worked at The Alan Turing Institute on online safety and assisted product development at a start-up.