Speaker: Peter Schafhalter

Research Assistant @ucbrise

Peter is a researcher in UC Berkeley's RISELab working in distributed systems and machine learning. He has worked with Ray, RLlib, Tune, and Modin for 1.5 years. He is interested in building high-performance scalable systems that enable AI applications.

Find Peter Schafhalter at

Talk : Scaling Emerging AI Applications with Ray

2019 Tracks

  • 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.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.