Prof. Dr. Samuel Greiff is Professor of Educational Monitoring & Effectiveness at the Technical University of Munich (TUM) since October 2024. At TUM, he leads the Centre for International Student Assessment (ZIB) and oversees the national implementation of the PISA study. Before joining TUM, he headed the “Educational Psychology & Artificial Intelligence” unit at Goethe-University Frankfurt in 2024 and, prior to this, directed the “Cognition, Learning, & Educational Assessment” research group at the University of Luxembourg from 2012 to 2024.



Prof. Greiff’s research centers on systemic educational issues and monitoring through large-scale international studies. His holistic approach to education considers both individual and societal factors, using AI and process data, and integrating 21st-century skills into practices. His work with studies like PISA and PIAAC provides insights for educational policy, supporting evidence-based reforms that enhance equality, effectiveness, and efficiency in education.

Dr. Qiwei (Britt) He is an Associate Professor in the Data Science and Analytics Program and Director of the AI-Measurement and Data Science Lab at Georgetown University.

Her research focuses on enhancing methodologies in sequence mining, text mining, psychometric modelling, machine learning, and artificial intelligence techniques with new data sources such as multimodal process data and textual data gathered from digital-based assessments.

With over ten years of research experience, Dr. He has extensively developed innovative item types, AI automated item generation and scoring systems, technology-based learning environments, and sequential process data analyses in both national and international large-scale assessments, such as PISA, PIAAC, TIMSS, and NAEP. She was appointed as an OECD Thomas J. Alexander Fellow in 2018 and currently serves in the Expert Group for PISA-Vocational Education and Training and the NAEP Validity Studies Panel. She received the U.S. National Council on Measurement in Education (NCME) Annual Award of Exceptional Achievement in 2023, the NCME Jason Millman Promising Measurement Scholar Award in 2019, and the NCME Alicia Cascallar Outstanding Paper of Early-Career Scholar Award in 2017

Professor Bryan Maddox leads the assessment strand at DEFI, holistically exploring the ways in which digital technologies can help support new models of assessment, in collaboration with industry partners. His research on the validity and fairness of assessment also aligns closely with DEFI’s vision of a more dialogic and inclusive educational system.

Bryan is Visiting Professor at the Centre for Educational Measurement, University of Oslo, and Visiting Professor at the Faculty of Education at the University of British Columbia (23/24). He is also Executive Director of Assessment MicroAnalytics Ltd. His work focuses on the digital transition in educational assessment, with a strong interest in the test taker experience and inclusive assessment. He is skilled in observational research methods including digital ethnography, eye tracking and gesture analysis.