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

Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches, including image recognition, NLP, predictions, & modeling.

  • Deep Learning in Practice

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe including use cases on machine translation, computer vision, & image recogition.

  • AI Meets the Physical World

    Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.

  • Papers to Production: CS in the Real World

    Groundbreaking papers make real world impact.

  • Solving Software Engineering Problems with Machine Learning

    Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.

  • Predictive Architectures in the Real World

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.