Jay (Wo Jae) Lee, Ph.D. in

Jay (Wo Jae) Lee, Ph.D.

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Sr. Applied Scientist (Applied Scientist III) at Amazon
📍 San Francisco, California, United States

Jay is a Senior Applied Scientist at Amazon with deep expertise in machine learning, deep learning, and signal processing, particularly within the music domain. A Ph. D. graduate from Purdue University, his work involves predictive modeling, time series analysis, and developing large-scale AI systems.

His background includes an internship with the Global Green Growth Institute, where he contributed to a national climate change strategy. This, along with his research on the environmental performance of products, suggests a strong interest in sustainability and green growth initiatives.

While at Purdue, his team won first place in a national manufacturing process challenge organized by the National Institute of Standards and Technology (NIST).

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Experience
4 Years
Current Role
Sr. Applied Scientist (Applied Scientist III)
Location
San Francisco, California, United States
Personality Overview

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Communication Style
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Priorities

Topics Jay cares about

AI in Music
His current role at Amazon and a key publication focus on applying machine learning and deep learning to large-scale music catalogs for metadata and information retrieval.
Advanced Manufacturing
He won a national award from NIST for his research into optimizing the stereolithography (SLA) additive manufacturing process, showing a deep interest in this area.
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Career

Work history

Sr. Applied Scientist (Applied Scientist III)
Amazon
Applied Scientist II
Amazon
8-2016 - 5-2021
Research Assistant
Purdue University
5-2020 - 8-2020
Applied Science Intern
Amazon Web Services (AWS)
1-2016 - 6-2016
Intern
Global Green Growth Institute
In the press

Media appearances

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Education
2016 - 2021
Doctor of Philosophy (Ph.D.)
Purdue University
2019 - 2020
Master of Science - MS
Purdue University
Social presence
in
Behavioral profile

DISC profile (public)

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