Speaker: Joel Grus

Senior Research Engineer @allen_ai

Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence in Seattle, where he works on AllenNLP, a deep learning framework for AI researchers. He wrote the beloved O'Reilly book Data Science from Scratch and the beloved blog post "Fizz Buzz in Tensorflow". In his spare time he does stand-up comedy and makes livecoding videos. Oh, and he doesn't like notebooks.

Find Joel Grus 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