Since joining Cambridge University Press & Assessment in 2005, Carmen has worked on a wide range of projects, including research on subject choice, gender differences in attainment, progression from general and vocational qualifications to further/higher education and employment, item and test evaluation, comparability of standards, accuracy of marking, and the effects of modularity, maturity, multiple entry and re-sits on examination outcomes.
Her current areas of interest include designing and conducting impact studies in education, evaluating the move from paper to digital assessments, the use of AI in marking, different aspects of qualification reform (e.g., English and maths post-16, reduction of assessment, vocational qualifications), and the validity of Cambridge’s qualifications as predictors of university and career success both in the UK and internationally.
Some of her work involves the use of large educational databases such as the National Pupil database, the HESA student records and the Longitudinal Education Outcomes data. She has expertise in the analysis and modelling of assessment data, and she is skilled in statistical programming in several languages including SAS and R. She has presented the outcomes of her work at national and international conferences and published in education and assessment journals.
Carmen holds a BSc in Mathematics and an MSc in Statistics from the University of Santiago de Compostela (Spain) and a PhD in Statistics from the University of Aberdeen. She conducted two years of her doctoral research on disease map modelling and surveillance of diseases at the University of South Carolina.
Outside of work she enjoys reading, swimming, and spending time at home or travelling with her husband and two children.