
John Sipple
As a Tech Lead and Staff Software Engineer in Google Core Enterprise Machine Learning, John Sipple is on a mission to deploy novel fault detection and diagnostics and practical smart control to large-scale industrial problems. John leads multiple development efforts that combine multidimensional anomaly detection with model explainability. He also leads a research effort to deploy reinforcement learning to make commercial office buildings more efficient and environmentally sustainable. John has also worked on dialog summarization models for Google chat, which was showcased in Google IO 2022. Before joining Google, John developed and applied algorithms, statistical analysis, and machine learning solutions to cybersecurity, agriculture, counterfeit detection, and missile defense.
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A general-purpose method for applying Explainable AI for Anomaly Detection
Lecture Notes in Artificial Intelligence, Springer Verlag (2022) (to appear)