Spotify
Shaorong Yan is a Senior Machine Learning Engineer at Spotify since July 2021 and has held the role of Data Scientist at Tapad since February 2020. At Tapad, Shaorong led a project that integrated XGBoost into the production pipeline and investigated the effects of alias churn. Prior to these positions, research experience includes serving as a Research Assistant at the University of Rochester, where neural networks and Bayesian models were employed to study predictive language processing, syntactic structure adaptation, and unsupervised learning in speech. Educational qualifications include a PhD in Brain and Cognitive Sciences from the University of Rochester and multiple degrees in psychology, cognitive psychology, and finance from various institutions, including a Bachelor's degree in Finance and Psychology from Peking University.
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Spotify
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Spotify is an audio and media streaming service that hosts music, podcasts and tv shows. Founded in 2008, Spotify has grown to one of the largest streaming platforms in the world, offering over 70 million tracks to its 360+ million users across 170+ markets. They are headquartered in Stockholm, Sweden with offices in over a dozen countries. Spotify’s mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify helps users to discover, manage, and share music on their phone, computer or tablet by browsing through the collections of friends, artists, and celebrities, by creating a radio station, or by curating their own playlists. A leader in revenue generation for the music industry, over 1,000 artists generated over $1 million on Spotify in 2021, 450 generations more than $2 million, and 130 generated over $5 million. Spotify also paid out over $1 billion dollars to publishing rights holders (songwriters and producers) in 2021.