I am the Director of Trust & Safety Research and head of Algorithmic Impact at Spotify.
My team’s work revolves around understanding the impact of platform and algorithmic decisions, enabling data-informed policy and intervention. This includes translating abstract calls to action into practical tooling, concrete interventions to understand and address algorithmic impact concerns, as well as data-informed product direction.
I combine organizational work with research that uses both quantitative, large-scale data approaches and in-depth, qualitative research to understand both what is happening and why. This includes the feedback loop between products and their users, the gap between people’s experiences and machine data interpretation, and creating the organizational and operational infrastructure to assess and affect platform impact.
My prior work has spanned voice and conversational platforms, quality of personalized recommendations and advertising, content moderation, location data, and human-robot interaction. I hold multiple patents, and have published and presented at top venues and companies.
For booking, conferences or publication info, please email. For more information about Algorithmic Impact Assessment, please also read our Spotify Engineering blog post. I am currently not hiring, but if you’ve been working in Trust & Safety or Responsible AI in industry or academia, feel free to reach out via email or send a LinkedIn message.