Dr. Qiwei (Britt) He is a Provost’s Distinguished Associate Professor in the Department of Psychology and Data Science and Analytics Program at Georgetown University. She is also the Founder and Director of the AI Measurement and Data Science Lab, and affiliated with the Massive Data Institute and the Department of Mathematics and Statistics at Georgetown.
Dr. He is an interdisciplinary scholar whose research advances cutting edge methodologies in artificial intelligence-driven measurement, sequence mining, text mining, psychometric modeling, and machine learning. Her work centers on harnessing multimodal data—ranging from log file process traces of human–machine interactions to eye tracking signals, virtual reality behaviors, and rich textual responses—to illuminate the cognitive and behavioral processes underlying human performance. As a prominent expert in psychometrics and data science, Dr. He designs and analyzes large scale assessments for test development, digital measurement, and next generation psychometric modeling. She transforms complex behavioral and linguistic data into evidence informed insights that deepen our understanding of cognition, learning, and decision making. Her overarching research goal is to build innovative, digitally based assessment systems and analytic frameworks that more accurately capture latent traits at both individual and population levels. Dr. He’s research is inherently interdisciplinary, spanning education, psychology, psychiatry, and public health, and her work consistently bridges methodological rigor with real world impact. Across these domains, she investigates how advanced computational methods and AI enhanced measurement models can strengthen validity, reliability, fairness, and inclusivity in modern assessment systems.
Dr. He has led or co-led 14 grants from government agencies, organizations, and industry, securing more than five million dollars in research funding. She has authored two books and over 50 publications (including journal articles, book chapters, conference proceedings, and research reports). delivered over 80 invited talks (incl. four keynotes and over ten invited panelist discussions) at top tier international conferences such as the Psychometric Society Annual Meeting and at leading universities including Harvard University and the University of Cambridge, and has contributed over a hundred conference presentations. She has also conducted nearly 20 invited workshops and training sessions (nine post tenure) on advanced sequence mining and machine learning methods for educational and psychological assessment. Her papers appear in top tier journals in the fields of psychometrics, quantitative measurement, education, and behavioral sciences, including Psychometrika, Journal of Educational and Behavioral Statistics, Computers and Education, Journal of Computer Assisted Learning and Behavioral Research Methods.
Dr. He has been appointed Humboldt Research Fellow (2028–2030), Hughes Hall Visiting Fellow at the University of Cambridge (2025–2026), OECD Thomas J. Alexander Fellow (2017–2019), and National Center for Education Statistics (NCES) NAEP Validity Studies Panelist (2025). She currently serves on the Board on Human–System Integration at the National Academies of Sciences, Engineering, and Medicine; the joint committee revising the Standards for Educational and Psychological Testing; and the Scientific Advisory Board for the Leibniz Institute for Educational Trajectories (LIfBi) in Germany. Dr. He also serves on the APA Communication and Publication Board and was recently selected as President-Elect for APA Division 5 (Quantitative and Qualitative Methods). Dr. He is the Editor-in-Chief of the International Journal of Testing, Associate Editor for the Journal of Behavioral Data Science, and Editor of the Springer book series Statistics and Data Science in Education & Psychology. She is also the recipient of the National Council on Measurement in Education (NCME) Outstanding Service Award (2025), Annual Award for Exceptional Achievement (2023), the NCME Jason Millman Promising Measurement Scholar Award (2019), and the NCME Alicia Cascallar Outstanding Paper Award (2017) as well as the APA Division 5 Anne Anastasi Dissertation Award (2017).
Academic Appointment(s)
- Primary
- Associate Professor, Graduate - Program in Data Analytics