Dawen Liang
Research Scientist at Netflix
📍 San Francisco Bay Area, United States
Dawen Liang is a Research Scientist at Netflix, where he focuses on machine learning and statistical modeling to understand user behavior. He holds a Ph. D. from Columbia University and has a background in developing recommendation systems and applying deep learning to creative technology.
His academic and professional work shows a deep interest in audio analysis, including developing methods for processing sound and identifying key segments within music tracks.
He holds a patent for a sound processing model and developed a method for automatically extracting the chorus from a song.
Read the full overview →Experience
10 Years
Current Role
Research Scientist
Location
San Francisco Bay Area, United States
Personality Overview
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Priorities
Topics Dawen cares about
Recommendation Systems
His role at Netflix and prior internship at Pandora focused on building and improving recommendation engines, a core theme in his published work.
Machine Learning Models
His introduction and academic background highlight a specialization in advanced machine learning and statistical modeling for practical applications.
Career
Work history
7-2016
Research Scientist
Netflix
Columbia University
4 yrs 6 mos
5-2015 - 8-2015
Scientist Intern
Pandora
5-2014 - 8-2014
Research Intern
Adobe
5-2013 - 8-2013
Research Intern
Adobe
In the press
Media appearances
Dawen Liang - Recommendation, Bayes and LLMs at Netflix. Featured in YouTube
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Education
2012 - 2016
Doctor of Philosophy (Ph.D.)
Columbia University
2010 - 2012
M.S.
Carnegie Mellon University
Social presence
Other Netflix Employees
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