Guang Cheng

Editor
DISC Type : CS

Amazon Scholar at Amazon

Los Angeles, California, United States

Overview

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.

Personality Overview

Self-Disciplined

Late Adopter

Fact-Driven

They do not like taking risks at all and go for proven options in the end.  Being observant comes to them naturally. They tend to be clear about their needs and limitations and are unlikely to promise too much.

Topics They Care 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.
AI in E-commerce
As an Amazon Scholar, he is directly involved in building "Rufus, " a generative AI shopping assistant that leverages large language models.

Media Appearances

Guang has no verified media appearances

Work History

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

Education

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

More Information

Social Presence :

Prographics :

Exp : 11 Location : Los Angeles, California, United States Job Level : N/A Designation : Amazon Scholar at Amazon
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Insights For Selling To Guang

During A Call Or A Meeting

DO's

  • Share a one-off customer success story but keeps the focus on highlighting objective, numerical results
  • Actively address their concerns around change, risk, and acceptance by users
  • When following up with them, expect slowness; use questions to engage them, preferably over email.

DONT's

  • Avoid winging it with them particularly, answer a question only if you know the answer well
  • Don't ask them to move fast, let them take their time and digest all the information
  • Avoid emotional and informal language, stay objective and to the point instead

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Guang is

  • Proof of usage by others in the industry, case studies showing ROI are likely to work the best with them.
  • Will you ever get a clear answer from Guang

  • Often, they don't say no, or keep going about it in circles.

Insights For Deal Planning

    How fast (or slow) will Guang move?

  • They are some of the slowest movers and take their time reaching decisions.
  • Can Guang take some risk or not?

  • They have very low acceptance of risk even if they do not say it directly.

You And Guang

Personality Compatibility


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