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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

Rapid data science exploration for cybersecurity

George Williams (GSI Technology), Harini Kannan (Capsule8), Alex Comerford (Capsule8)
1:50pm–2:30pm Friday, August 24, 2018
Data visualization, Extensions and customization, JupyterCon Business Summit, JupyterHub deployments
Location: Concourse A: Business Summit Level: Beginner
Average rating: ****.
(4.50, 2 ratings)

Who is this presentation for?

  • Data scientists

Prerequisite knowledge

  • Familiarity with Jupyter notebooks

What you'll learn

  • Explore custom extensions that help data scientist working cybersecurity rapidly build models for threat detection, within an environment based on JupyterHub


Notebooks have rapidly become the most important tool for data scientists. From exploratory data investigation to productionalization, notebooks now regularly factor into the entire data science pipeline. Jupyter notebooks, in particular, can be extremely valuable for crafting threat detection products in cybersecurity.

George Williams, Harini Kannan, and Alex Comerford demonstrate some of the capabilities they have developed at the intersection of data science and cybersecurity and explain how Jupyter notebooks play a central role in that effort. Specifically, they offer an overview of specialized extensions they have built for data scientists working in cybersecurity that can be used and deployed via JupyterHub.

Photo of George Williams

George Williams

GSI Technology

George Williams is the Director of Data Science, an AI chip and embedded algorithms company. George has worked at the intersection of research and industry for two decades. He has published papers at major mathematics and AI conferences and holds several patents in computer vision and security.

Photo of Harini Kannan

Harini Kannan


Harini Kannan is a data scientist at cybersecurity company Capsule8, where she applies her skills in statistics, visualization, and machine learning to a broad range of threat detection and computer security problems. She enjoys using Python, Jupyterlab, R, and TensorFlow in her daily work.

Photo of Alex Comerford

Alex Comerford


Alex Comerford is a data scientist at cybersecurity company Capsule8, where he focuses on developing interactive and informative data visualizations to identify security issues in large-scale cloud environments. His interests include data science, data visualization, statistics, and machine learning.