Host: Brad Klingenberg

VP Data Science @StitchFix

Brad Klingenberg leads a team of 20+ data scientists working on human-in-the-loop machine learning at Stitch Fix. His team develop the recommendation algorithms that guide our stylists, the human experts who curate the items selected for clients. We also match our clients and stylists together and measure, monitor and optimize the role of human selection in our recommendation system.

Find Brad Klingenberg 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.