Liz Xiao

Director of Data Science at Machinify

Liz Xiao has over 10 years of work experience in the data science and analytics field. Liz started their career in 2010 as a Quantitative Research Analyst at Acumen LLC, where they conducted statistical research on the safety of medical devices using extensive Medicare data and presented results to federal agencies to inform health policy decisions. In 2011, they joined Cornerstone Research as a Research Associate, performing complex economic analysis for corporate litigation matters in the securities, antitrust, intellectual property, and product liability practice areas. In 2014, Liz joined Pinterest as a Data Science Manager, leading a team of analysts and data scientists to research consumer behavior and measure ad effectiveness. Liz also built innovative tools to make advertising recommendations based on large-scale user data. Most recently, Liz has been working as a Senior Data Science Manager at Machinify, Inc. since 2019.

Liz Xiao attended Stanford University from 2007 to 2011, where they earned a degree in Economics with a minor in Mathematics.

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San Francisco, United States

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Machinify

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Machinify is a data-to-cash platform enabling enterprises to optimize core operations through the use of AI. Their revolutionary product empowers domain experts to go all the way from raw data to smart, automated decisions in production, massively shrinking the cycle time for developing and deploying AI-driven software.


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51-200

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