Lu Ou is a research scientist at ACTNext. She received her PhD in human development and family studies from the Pennsylvania State University. She received a Bachelor of Science degree in mathematics and applied mathematics from Zhejiang University in China, a Master of Science degree in human development and family studies, and a Master of Science degree in statistics, both from Penn State.
Her thesis research focused on developing, applying, and evaluating statistical and computational estimation techniques for mixed-effects nonlinear differential equation models. During her graduate career, she worked on the development and improvement of the dynr R package for multivariate time series analysis and applications of dynamic models and data mining techniques to dyadic co-regulation and emotion regulation.
Her research interests lie in time series analysis, machine learning, and the development and estimation of dynamic models that are applicable to studying individual- and group-level dynamic processes (e.g., communication and collaboration). Lu is passionate about ACT and its mission to help people achieve education and workplace success, and joins ACTNext in effort to pursue her research at the leading edge of advanced psychometrics.
Contact: Lu.Ou (at) act.org