Zheyu Ni is an economist specializing in algorithmic pricing, demand estimation, and two-sided markets. She works at the intersection of econometrics and machine learning, building production-ready pricing and forecasting models for real-world marketplaces.
Currently, she is an Economist at Digonex, where she develops and deploys dynamic pricing and demand forecasting algorithms to support revenue optimization for live entertainment and attractions. Her work combines structural economic modeling, causal inference, and empirical methods, with close collaboration across engineering and marketing teams. She also works on experimentation and demand estimation to develop scalable, data-driven models that support revenue optimization.
PhD in Economics, 2024
The Ohio State University
MA in Economics, 2018
Boston University
BSc in Economics, 2016
Zhejiang University