Research

A self-assessment dashboard for the Professional Quality of Life Scale (ProQOL), helping professionals track compassion satisfaction, burnout, and secondary traumatic stress over time.

An R pipeline that compares the latent structure of LLM text embeddings with human psychometric data using Exploratory Graph Analysis (EGA), using language models as a new lens on construct validity, factor structure, and scale design.

A reusable Shiny platform for online surveys that give participants immediate, personalised feedback on their own results. Its most-used deployment, the Machiavellianism self-test (TDMS), has been completed by more than 40,000 participants who chose to share their data.

An R + Quarto pipeline that turns a study's raw questionnaire data into a bespoke, plain-language HTML (or PDF) feedback report for every participant, scoring the HEXACO-100, PVQ-21, and NISE against population norms so respondents get something meaningful back for taking part.

Developing open-source tools to detect careless, inconsistent, and distorted responding in psychological research and assessment, including informant-report validity scales and brief, appendable inconsistency and under-reporting measures.

Building and validating open-source psychological measures, from item generation through factor analysis (EFA/CFA), reliability, and construct validation, so researchers and clinicians have rigorous, freely available instruments.

Using large language models to assist translating and culturally adapting psychometric scales across languages, making validated instruments more accessible to non-English-speaking researchers and clinicians.

An LLM-based auditing tool that reads a whole corpus of academic papers and audits how each one handles response-validity threats in self-report data, tested at a scale of nearly 50,000 articles.

An R pipeline that compares the latent structure of LLM text embeddings with human psychometric data using Exploratory Graph Analysis (EGA), using language models as a new lens on construct validity, factor structure, and scale design.

Person-specific measurement using ecological momentary assessment and intensive longitudinal designs, studying how distress and personality states fluctuate within individuals over time, and whether measures built on group averages hold at the individual level.

A self-assessment dashboard for the Professional Quality of Life Scale (ProQOL), helping professionals track compassion satisfaction, burnout, and secondary traumatic stress over time.

A reusable Shiny platform for online surveys that give participants immediate, personalised feedback on their own results. Its most-used deployment, the Machiavellianism self-test (TDMS), has been completed by more than 40,000 participants who chose to share their data.

An R + Quarto pipeline that turns a study's raw questionnaire data into a bespoke, plain-language HTML (or PDF) feedback report for every participant, scoring the HEXACO-100, PVQ-21, and NISE against population norms so respondents get something meaningful back for taking part.

A long-running program on how personality pathology is diagnosed, comparing categorical and dimensional (DSM-5 AMPD, ICD-11, HiTOP) approaches and their downstream effects on stigma, clinical utility, and treatment, especially for borderline personality disorder.

A government-funded study of the relationship between personality and online behaviour, using consent-gated digital data donation rather than self-report alone.

Person-specific measurement using ecological momentary assessment and intensive longitudinal designs, studying how distress and personality states fluctuate within individuals over time, and whether measures built on group averages hold at the individual level.

Building and validating open-source psychological measures, from item generation through factor analysis (EFA/CFA), reliability, and construct validation, so researchers and clinicians have rigorous, freely available instruments.

An emerging project applying large language models and embedding-based methods to study the structure of personality: how AI represents traits, and what that reveals about long-standing questions in personality science.

An LLM-based auditing tool that reads a whole corpus of academic papers and audits how each one handles response-validity threats in self-report data, tested at a scale of nearly 50,000 articles.

An R pipeline that compares the latent structure of LLM text embeddings with human psychometric data using Exploratory Graph Analysis (EGA), using language models as a new lens on construct validity, factor structure, and scale design.

A government-funded study of the relationship between personality and online behaviour, using consent-gated digital data donation rather than self-report alone.

An emerging project applying large language models and embedding-based methods to study the structure of personality: how AI represents traits, and what that reveals about long-standing questions in personality science.

Using large language models to assist translating and culturally adapting psychometric scales across languages, making validated instruments more accessible to non-English-speaking researchers and clinicians.

A government-funded project developing AI chatbots to support professional training.