Hao Ren

Hao Ren is a Principal Scientist at Pearson since September 2018, with a strong background in adaptive testing and research methodologies. Previously, Hao served as a Senior Research Scientist at ACT and Pacific Metrics, focusing on next-generation adaptive testing, including optimal design for online calibration and Bayesian adaptive testing. Earlier experiences include a Research Scientist role at Data Recognition Corporation, where Hao worked on data forensics and adult educational testing, and a position at McGraw-Hill Education CTB, overseeing scoring models and psychometric analysis for large-scale assessments. Hao's academic credentials include a Ph.D. in Statistics and a Master's Degree in Physics, both from Michigan State University.