Gregory, Brittany

Brittany Gregory is a doctoral student in the School Psychology area within the Department of Educational Psychology. She received a BA in Psychology and Sociology from the University of Missouri where she examined the interactions between students and teachers in the classroom and the role of race, gender, and SES. Her research interests include issues of equity in education and social justice as they relate to students and mental health. She is currently involved in research with the Teachers and Parents as Partners (TAPP) project focused on promoting the collaboration of schools and families. She is also interested in students within the juvenile justice system, the role of mental health, and family-school partnerships.

Grekov, Paulina

Paulina Grekov is a doctoral student in the Quantitative Methods area within the Department of Educational Psychology working with Dr. James Pustejovsky. Prior to joining the Educational Psychology department, she taught upper-elementary special education. 

Grondin, Matthew

Before my interests in educational psychology, I completed my bachelor’s and master’s degrees in biomedical engineering with a focus on cartilage mechanics and quantitative magnetic resonance imaging. While instructing engineering courses, I found myself pondering my own educational experiences and how I learned engineering through an embodied approach. I began teaching engineering concepts in Mechanics of Materials through embodied experiences and found this to enrich student thinking. My current research revolves around embodied learning experiences in engineering education as a alternative pedagogical approach in the discipline.

Guha, Alina

Alina Guha is a doctoral student in the Learning Sciences area within the Department of Educational Psychology and is advised by Dr. Shamya Karumbaiah. She works in The Responsible AI for Learning Lab.

Harra, Kjorte

Kjorte Harra is a doctoral student in the Quantitative Methods area within the Department of Educational Psychology working with Dr. David Kaplan. Her research focuses on Bayesian methods and their applications in large-scale educational assessments, with current work on plausible value estimation. She has also served as a lead instructor and teaching assistant for graduate-level educational statistics courses.

Hendrix, Chloe

Chloe Hendrix is a doctoral student in the School Psychology area within the Department of Educational Psychology and is advised by Dr. Katie Eklund. She received her BS in Developmental Psychology from the University of Minnesota–Twin Cities where she studied and conducted research in the departments of Educational Psychology, Developmental Psychology, and Sociology/Criminal Justice. Chloe served as an AmeriCorps Promise Fellow in a middle school in St. Paul, Minnesota. Her research interests include implementing Tier 2 interventions, specifically Check-in/Check-out and Resilience Education Program (REP), to students with internalizing concerns and externalizing concerns. She is also interested in mentorship for students of color and school climate.

Huang, Mingya

Mingya is a Ph.D. student in Quantitative Methods working with Dr. David Kaplan and Dr. Sameer Deshpande. She is pursuing research in Bayesian statistics, machine learning, clustering models, and causal inference. Currently, her work focuses on Bayesian nonparametrics and its application in large-scale clustered data.

Jeong, Tai Sun

Tai Sun Jeong is a doctoral student in the Quantitative Methods area within the Department of Educational Psychology. He is studying with Dr. James Wollack. His research interests include test security, item response theory, and machine learning. Tai Sun is currently working as a project assistant at the UW Testing and Evaluation Center.

Katsikathas, Maria

Maria Katiskathas is a doctoral student in the Human Development area within the Department of Educational Psychology and studying with Dr. Amy Bellmore. Maria is interested in examining adolescent peer relationships and educational outcomes through a sociocultural lens. She hopes her research will contribute to a deeper understanding of how teens’ social relationships and educational experiences, both in school and social media contexts, influence their social and emotional development.

Kim, Chaeyeon

Chaeyeon Kim is a doctoral student in the Learning Sciences area within the Department of Educational Psychology, advised by Dr. Mitchell Nathan. Broadly, Chaeyeon is interested in immersive learning environment design and development, such as virtual and augmented reality-based learning. She has designed and implemented various types of immersive learning simulations. Her scholarly work primarily revolves around the assessment of students’ performance and engagement in 3D simulation-based learning environments. Her future research aims at designing and developing an adaptive simulation-based learning system through embodied design and multimodal learning analytics in immersive settings.