Irina Uglanova

Irina Uglanova is a Research Scientist and Doctoral Candidate at the Leibniz Institute for Science and Mathematics Education (IPN) since 2023, specializing in Educational Measurement and Data Science. She previously held roles as a Research Fellow (2021-2023) and Junior Research Fellow (2020-2021) at HSE University's Centre for Psychometrics and Measurement in Education.

• Education: Bachelor's (2016) from Moscow State University of Psychology and Education; Master's (2018) and Doctoral studies (2018-2021) at HSE University.

Her research focuses on psychometric modeling, particularly Item Response Theory (IRT) and Mixture Modeling, applied to intensive longitudinal data and educational assessment challenges like careless responding. She integrates methodological research with machine learning techniques.

Irina's recent publication in the British Journal of Mathematical and Statistical Psychology introduces a novel IRT approach for analyzing attentive/inattentive response patterns in longitudinal data, highlighting her expertise in statistical psychology and educational measurement.