Socure
Yu (Jason) Zeng is a seasoned data scientist with extensive experience in machine learning and data analysis across various sectors, including Oil & Gas and academia. Currently serving as a Senior Data Scientist II at Socure, Yu previously held the role of Senior Data Scientist at ConocoPhillips, where the application of machine learning techniques addressed business challenges such as production forecasts and reservoir optimization. Yu has also contributed to education as an instructor at the University of Wisconsin-Madison and as a session lead for Udacity's AWS Machine Learning Engineer Nanodegree Program. Earlier experience includes leading geophysical data projects at CGG and achieving a groundbreaking measurement of the W boson mass at Fermilab. Yu holds a PhD in Physics and an MS in Statistics from Duke University, as well as professional development from MIT xPRO.
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Socure
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Socure is the leading platform for digital identity trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time.