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.
Read the full overview →Behavioral traits and communication patterns that shape how this person evaluates opportunities, builds trust, and makes decisions in professional settings.
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