Speaker: Greg Novak

Data Scientist @StitchFix

Greg Novak leads the Global Optimization team at Stitch Fix, focusing on optimizations that that cut across the organizational and structural boundaries of the business.  To test and evaluate these cross-functional improvements, he has worked across the entire stack to develop software infrastructure enabling the use of experimental techniques previously unused at Stitch Fix.  Before joining Stitch Fix, Greg spent a decade doing research in astrophysics focused on black holes and galaxy evolution.

Find Greg Novak 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.