Jingyi Yang

NYU Stern School of Business

Jingyi Yang

Ph.D. Candidate in Information Systems · Expected May 2028

Computational Creativity Interpretable Machine Learning Fairness & Uncertainty
Jingyi Yang

About

Hello, I'm Joyce

I am a Ph.D. candidate in Information Systems at New York University's Leonard N. Stern School of Business. My research focuses on computational creativity—specifically, measuring creativity and making GenAI outputs more creative. I am also interested in interpretable machine learning and fairness. I am grateful to be advised by my committee: Alexander Tuzhilin (Chair), Hanna Halaburda, Panagiotis Adamopoulos, João Sedoc, and Pan Li.

News

Recent updates

Aug 2026

Paper "Towards Defining, Measuring and Leveraging Creativity in AI Applications" is accepted and presented at IJCAI-ECAI 2026.

Aug 2025

Taught TECH-UB 57 Data Science for Business as Instructor and received rating 5.0/5.0.