Research areaMental Health Networks
I study mental health through network and complex-systems perspectives, examining how symptoms, behaviors, cognitive processes, and contextual factors interact over time. My work has particular—though not exclusive—emphasis on eating disorders, depression, and autism. I use causal discovery with cross-sectional and longitudinal data, in addition to causal methods and experiments to move beyond simple associations and examine mechanisms, temporal dynamics, heterogeneity, and potential targets for intervention.
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Research areaMetascience and Open Science
I am strongly interested in the adoption of open-science practices and in metascience as a field of research. My PhD in Psychometrics had a substantial metascientific focus, particularly on how measurement assumptions and analytical decisions shape the interpretation and use of psychological test scores. Although I have not yet had the opportunity to develop a sustained research program in this area, I aim to expand this line of work and contribute more actively to research on transparency, reproducibility, and methodological quality in psychology.
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Research areaPsychometrics
My work in psychometrics focuses on improving how psychological constructs are conceptualized, measured, and modeled. My work involves critical thinking on psychometric assumptions before choosing a model. I apply and develop methods involving item response theory, Rasch modeling, factor analysis, measurement invariance, differential item functioning, and reliability assessment. A central aim of my research is to address methodological limitations in psychological measurement and to produce instruments and analytical approaches that are valid, robust, and suitable for diverse populations and research contexts. I also I develop, compare, and refine psychometric methods, with attention to reproducibility, simulation, valid inference, transparent workflows, and the practical consequences of analytical choices.
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