I am a Director of Research & Algorithmic Impact at Spotify. My team’s work revolves around understanding the impact of data and machine learning decisions in music and podcast recommendations. This includes translating abstract calls to action into practical tooling and concrete, data-informed product direction.
I combine quantitative, large-scale data approaches with in-depth, qualitative research to understand both what is happening and why. I am particularly interested in the effect that teams’ design, data and metrics 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 been lucky enough to publish and speak at top research venues.