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Personal profile

Research Interests

My primary research pertains to the use of latent variable modeling, machine learning, and other quantitative methods to solve practical problems in educational and psychological testing. Here are a few of my current research interests:

  • Latent variable modeling: missing data, response times, diagnostic classification, Bayesian estimation;

  • Longitudinal models for learning and interventions;

  • Analysis of complex data (e.g., log data) in computer-based testing and learning environments.



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, 2021)

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

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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