Guang Cheng in

Guang Cheng

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Amazon Scholar at Amazon
📍 Los Angeles, California, United States

Guang Cheng is a Professor of Statistics and Data Science at UCLA, where he directs the Trustworthy AI Lab. Concurrently, he serves as an Amazon Scholar, contributing to the development of "Rufus, " a generative AI-powered shopping assistant. He earned his PhD in Statistics from the University of Wisconsin-Madison.

He is dedicated to fostering the next generation of AI talent, leading a lab of over 20 students and postdocs. He actively promotes and sponsors workshops and hackathons focused on generative AI, with a particular interest in its applications for social good, such as in healthcare.

Unique fact: He holds a dual role as a leading academic researcher shaping the future of trustworthy AI and an industry practitioner building large-scale consumer AI products at Amazon.

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Experience
11 Years
Current Role
Amazon Scholar
Location
Los Angeles, California, United States
Personality Overview

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Priorities

Topics Guang cares about

Trustworthy AI
He leads the Trustworthy AI Lab at UCLA, focusing on making AI systems reliable, private, fair, and secure.
Generative Data Science
A core research theme of his lab, focusing on the theoretical principles behind generative AI and its application in creating synthetic data for finance and healthcare.
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Career

Work history

8-2022
Amazon Scholar
Amazon
11-2021
Full Professor
University of California, Los Angeles
8-2008 - 10-2021
Assistant/Associate/Full Professor of Statistics
Purdue University
7-2019 - 1-2020
Member
Institute for Advanced Study
6-2014 - 7-2015
Visiting Associate Professor
Princeton University
In the press

Media appearances

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Education
7-2003 - 6-2006
Doctor of Philosophy - PhD
University of Wisconsin-Madison
9-1998 - 7-2002
Bachelor's degree
清华大学经济管理学院 Tsinghua University School of Economics and Management
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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