Sheng Chao Ho

Sheng Chao Ho is an Assistant Professor at the School of Economics, Singapore Management University. He earned his Ph.D. in Economics from the University of Pennsylvania in May 2024. His research focuses on econometric theory and empirical Bayes methods, particularly in high-dimensional and large-scale estimation problems.

His research interests lie at the intersection of econometrics and statistical decision theory. He specializes in empirical Bayes methods, nonparametric estimation under heteroskedasticity, and optimal shrinkage estimators. His work often applies to education economics, particularly in modeling teacher value-added with complex data structures.

The two most recent working papers demonstrate a strong trend in developing theoretically grounded, asymptotically optimal estimation techniques for real-world data with limited mobility and unknown variance structures. His methodological contributions leverage sufficient statistics and risk minimization principles to achieve near-parametric regret bounds in large-scale settings.

While no formal scientific awards are listed, his publications in high-quality working paper series indicate strong research potential and academic recognition.

He currently does not list any advisees or grant funding. There is no mention of leadership in labs or research teams, though his affiliation with research data centers like the North Carolina Education Research Data Center suggests collaborative empirical work.