Personal profile

Research Interests

My work integrates latent variable modeling with statistical learning to advance statistical and psychometric methods, to address practical problems in educational and psychological testing. Here are a few of my current research interests:

  • Theory and methods for complex behavioral data (in particular, sequence data, e.g., log data, natural language data) in assessments;
  • Latent variable modeling: missing data, response times, diagnostic classification, statistical computing;
  • Longitudinal model for learning and interventions.



IES R324P210005 (co-PI): Analysis of NAEP Mathematics Process, Outcome, and Survey Data to Understand Test-Taking Behavior and Mathematics Performance of Learners with Disabilities

AERA NSF 112057 (PI): Revision and Review Behavior in Large-Scale Computer-Based Assessments: An Analysis of NAEP Mathematics Process Data 

Honors & Awards

Alicia Cascallar Award (NCME, 2022)

Excellent Reviewer Award (JEBS, 2020, 2023)

UIUC List of Teachers Ranked as Excellent by Students (SP 2021, FA 2022, FA 2023)

Education/Academic qualification

Quantitative Psychology, Ph.D., University of Illinois Urbana-Champaign

Award Date: Aug 22 2018

Applied Mathematics, MS, University of Illinois Urbana-Champaign

Award Date: May 20 2017

Psychology, BA, Bryn Mawr College

Award Date: May 15 2014

Mathematics, BA, Haverford College

Award Date: May 15 2014


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