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Reasoning about Uncertainty at Scale



Max Livingston presents a case study of using Bayesian modelling and inference to directly model behavior of aircraft arrivals and departures, focusing on the uncertainty in those predictions.


Max Livingston is a data scientist at Freebird, where he uses Bayesian machine learning techniques to model flight disruptions and last-minute prices. He graduated from Wesleyan University with high honors in Economics and worked in the Research group of the New York Fed before making the jump to data science. Prior to Freebird, Max worked as a data scientist at Knewton.

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Recorded at:

Jan 20, 2019