Speaker: Emily Samuels

Staff Engineer @Spotify

Emily Samuels is a Staff Engineer at Spotify. Her current focus is improving the recommendations on the Home Tab. In the past she has worked on Playlist Recommendations, the Discover Page, and Radio. She graduated from the University of Michigan with a BS in computer science. Emily has worked in the technology industry for ten years and was previously with FactSet Research Systems and Goldman Sachs. Her main interest is big data and she enjoys working on batch and streaming pipelines and distributed databases.

Find Emily Samuels at

2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud