Speaker: Greg Novak
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
2019 Tracks
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Groking Timeseries & Sequential Data
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.
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Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.