Registration for RoSE-eCOTS Regional Meeting is now Open!
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Angel (she/her) is a Teaching Fellow and Programme Director for International Partnerships at the School of Psychology, Aston University. Her expertise lies in educational psychology, with a strong focus on developing and implementing innovative, evidence-based teaching methods. She is particularly interested in how technology can be used to enhance learning, especially within higher education settings.
Angel’s research spans several key areas within psychology, including behavioural psychology, online pedagogy, evidence-based educational practice, and statistics education. Her doctoral research explored the role of technology-enhanced learning tools in supporting university students’ mastery of statistics and the development of critical thinking skills. She is currently researching on how online pedagogical strategies can be aligned with learning theories to transform educational outcomes in learning statistics.
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Shae Sackman is currently a graduate student at Simon Fraser University in British Columbia, Canada. Their work currently involves the areas of meta-science, the philosophy of science, and asking questions about the methodological practices within the psychological sciences.
When not staring at rows and rows of data, Shae is trying to figure out the best ways to convince students that statistics isn't scary or boring.
WEBSITE & BLOG EDITOR
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Amelia is a psychology PhD student at the University of Sussex supervised by Dr Jenny Terry & Professor Andy Field. Her research interests focus primarily on psychometrics and statistics education, with particular interest in the statistical aptitude and understanding of working psychology researchers. She is also a strong proponent of open science practices within psychology research. Her most recent research examines the extent to which specific residual plot characteristics (ratio, point density, degree of heteroscedasticity) affect how accurately psychology researchers can identify heteroscedasticity solely through residual plot interpretation (https://osf.io/yvr5n/).
SOCIAL MEDIA OFFICERS
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Sophia is an Assistant Lecturer in Psychology at Arden University and an MSc Health Psychology student at Aston University. Previously, she studied BSc Psychology at the University of Birmingham. With a background rooted in health, clinical, and forensic research, she has spent the past several years teaching and mentoring diverse groups of learners-whether delivering engaging undergraduate lectures, supervising dissertations, or supporting students through more personalised 1:1 tutoring.
Her current master’s dissertation explores attentional bias in orthorexia nervosa and healthy orthorexia, taking a cognitive lens to the blurred boundaries between clinical and health psychology. More broadly, her research experience spans community-focused mental health, forensic memory work, and systematic reviews, and she has led the development of student-run research projects from ethics through to data analysis. She is particularly passionate about applying psychological science to real-world contexts, bridging the gap between research, teaching, and community wellbeing.
Beyond academia, Sophia runs a small educational business, Psychology Made Simple, where she creates resources that make psychology accessible for A-Level Psychology students. She has also supported vulnerable individuals through roles in end-of-life care and youth-focused charity work - experiences that have deepened her empathy, communication, and commitment to socially impactful practice.
When she isn’t teaching, researching, or creating study materials, she can be found immersed in a new craft project, travelling, or spending time with family and friends.
SOCIAL MEDIA OFFICERS
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Lucy Njoki Njuki is a clinical data professional with a biostatistics background and 7 years’ experience working across clinical, epidemiological, and health services research. She specialises in preparing, cleaning, and validating large EHR and observational datasets; creating data dictionaries and metadata; and building scripted, auditable R workflows to produce analysis-ready datasets. Lucy has supported multidisciplinary teams at the University of Oxford and the University of Manchester and assists in delivering training in R and reproducible data practices through Applied Epi.
She is an active member of the global R community and currently co-organises R-Ladies Remote. Lucy is completing a part-time MSc in Statistics & Data Science (Biostatistics) at Hasselt University and is passionate about applying statistics to health research, strengthening data quality, and improving equity and outcomes in clinical and population health studies.