Airbnb uses AI and machine learning in many parts of its user-facing business. But it’s also advancing the state of AI-powered internal tools. Theresa Johnson details the AI powering Airbnb’s next-generation end-to-end metrics forecasting platform, which leverages machine learning, Bayesian inference, TensorFlow, Hadoop, and web technology.
Theresa Johnson is a product manager for metrics and forecasting products at Airbnb. As a data scientist, she was part of the task force and cross-functional hackathon team at Airbnb that worked to develop the framework for the current antidiscrimination efforts. Theresa is a founding board member of Street Code Academy, a nonprofit dedicated to high-touch technical training for inner city youth, and has been featured in TechCrunch for her commitment to helping early-stage founders raise capital. Theresa is passionate about extending technology access for everyone and finding mission-driven companies that can have an outsized impact on the world. She holds a PhD in aeronautics and astronautics and dual undergraduate degrees in science, technology, and society and computer science, all from Stanford University.
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