Speaker: Sean Taylor

Core Statistics Team @Facebook

Sean J. Taylor is a computational social scientist on Facebook's Core Data Science team specializing in field experiments, statistical modeling, and causal inference. His research interests include social influence processes and combining human expertise with machine learning. Sean received his Ph.D. in information systems at NYU’s Stern School of Business and holds a B.S. in economics from The University of Pennsylvania.

Find Sean Taylor at

2019 Tracks

  • 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

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.