Who we are
About the Lab
Our work spans four streams: clinical psychology, psychometric tools, meta- and open science, and AI. Based at the Australian National University, we build open, validated assessment instruments and test how well our measures, and newer AI methods, capture the constructs they target.
How we work
Open by default
Every instrument we develop is open-source and freely available: full items, scoring guides, and psychometric documentation, not just a paper describing them.
Measurement first
Good psychological science depends on precise measurement. We treat psychometric rigour (IRT, CFA, network analysis) as foundational, not an afterthought.
Theory meets practice
Our research is grounded in real clinical and educational practice, so what we build is meant to be used, not just published.
Responsible AI
We explore large language models and AI pipelines for psychological science deliberately and transparently, evaluating what they get right and where they fall short.
Four connected directions
Our work spans four research streams, each feeding the others. See the full picture, with publications and active projects, on the Research page.
Psychometrics & Scale Development
Open-source instruments, from personality and psychological awareness to response accuracy, built and validated with IRT, CFA, and network analysis, and freely available to the research community.
Meta-Science & Idiographic Methods
Open data, statistical-power practice, and person-specific (idiographic) measurement, reorienting psychological research toward within-person structure and reproducibility, not just group averages.
Dimensional Personality & Clinical
Dimensional models of personality and psychopathology (DSM-5 AMPD, ICD-11, HiTOP) and the clinical assessment tools that translate them into practice, centred on vulnerability, resilience, and closing the research-to-clinic gap.
Large Language Models in Psychological Science
Evidence-based, ethical use of large language models in psychological research and mental-health care, from auditing the research literature itself to modelling personality structure and understanding real-world behaviour. The newest of the lab's directions: still more active projects than publications.
Our open-science commitment
Psychological assessment tools are only as useful as they are accessible. Every scale we develop (full item sets, scoring algorithms, reliability and validity evidence, factor structure, and normative data) is published in our open Scales repository, free for research and clinical use. We publish our code alongside our papers wherever we can. See our Projects page for the tools and codebases we build along the way.
Get involved
We welcome inquiries from prospective students, collaborators, and anyone interested in our research or open-source instruments.