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I lead Spotify’s algorithmic impact effort, focused on avoiding algorithmic harms, and supporting the data and design decisions that affect algorithmic outcomes.

My work revolves around people’s interaction with systems and ‘autonomous things’ that learn and adapt in both product and research settings. I previously set up Spotify Research’s #Hai team focused on the human side of Machine Learning, and set up research to build out Spotify’s voice platform.

Prior to Spotify, I led research for Yahoo on topics such as ad feedback, engagement metrics and news recommendation quality. Before moving to the US, I was a researcher and project lead at the Mobile Life Centre/Swedish Institute of Computer Science in Kista (Stockholm), Sweden researching human-robot and mobile location based interactions.

My PhD from the University of Amsterdam (2010) focused on user trust in user-adaptive and semi-autonomous systems, and the feedback loop between people’s and systems’ perceived behavior.