Speaker: Jason Grout

Scientific Software Developer @Bloomberg & JupyterLab / Sage Core Contributor

I am a Jupyter developer working at Bloomberg in New York. I work primarily on JupyterLab and the interactive widget system. I have also contributed to the open source Sage mathematical software system for many years. I co-organize the PyDataNYC Meetup. Previously, I was an assistant professor of mathematics at Drake University in Des Moines, Iowa.

Find Jason Grout at

Proposed Tracks

  • Real-World Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.

  • Deep Learning Applications & Practices

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe across machine translation, computer vision.

  • AI Meets the Physical World

    The track where AI touches the physical world, think drones, ROS, NVidea, TPU and more.

  • Data Architectures You've Always Wondered About

    How did they do that? Real-time predictive pipelines at places like Uber, Self-Driving Cars at Google, Robotic Warehouses from Ocado in the UK, are all possible examples.

  • Applied ML for Software

    Practical machine learning inside the data centers and on software engineering teams.

  • Time Series Patterns & Practices

    Stocks, ad tech/real-time bidding, and anomaly detection. Patterns and practices for more effective Time Series work.