I am the Head of Algorithmic Impact at Spotify, and director of research. My team’s work revolves around understanding the impact of platform and algorithmic decisions, with a special focus on music and podcast recommendations. This includes translating abstract calls to action into practical tooling, concrete interventions to avoid (algorithmic) harms, as well as data-informed organizational and 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. I am particularly interested in the effect that organizational and product decisions have on algorithmic outcomes. This includes the feedback loop between products and their users, the gap between people’s experiences and machines’ data interpretation, and creating the organizational and operational infrastructure to assess and affect impact.
My prior work has spanned research for voice and conversational platforms, quality of personalized recommendations, (ad) moderation, location data interpretation, and human-robot interaction. I hold multiple patents, and have published and presented at top venues and companies.