williammayes.com

Data Scientist · AI Evaluation · Behavioural Research

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Data Scientist & Senior Researcher, Care Quality Commission
ONS Data Science Campus Graduate, 2023–2025
University of Surrey, PhD Psychology, 2022

I am a PhD-trained behavioural researcher and data scientist with four years in national healthcare regulation, combining rigorous statistical foundations including causal inference, Bayesian modelling, experimental design, with hands-on experience building and evaluating AI systems where the consequences of error are real. My path was non-linear by design: clinical psychology settings, doctoral neuropsychology research, and national-scale NHS data work each added a layer that purely technical routes miss. I am drawn to problems where the statistical question and the human question are inseparable. Equally at home designing a psychophysics paradigm, a national patient survey, or an LLM evaluation framework — the common thread is rigorous measurement under real-world constraints.

AI EvaluationBayesian InferenceExperimental DesignSurvey MethodologyPsychometricsCausal InferencePython · RNLPLLM-as-judgeFastAPI
§1 — Projects
github.com/wpmayes
Fig.2

Stateful Multi-Agent LLM Architecture · In development · Jan 2026

Common Ground

A multi-agent LLM system designed to explore statefulness, consistency, and controllability in model behaviour. Uses a three-model architecture: a primary generation model operating within persistent hidden state, a state-tracking model updating variables from user interaction, and a judge model for validation and safety. Includes local, offline inference via quantised models.

Multi-Agent LLMsStateful SystemsLLM EvaluationModel OrchestrationLocal InferenceQuantisation
§2 — Experience
Full CV →
PeriodRoleContributionMethods

2023–present

Data Scientist / Senior Researcher

Care Quality Commission

Led end-to-end redevelopment of the Children & Young People NHS Patient Survey and held ownership of national NHS patient surveys: sampling strategy, contact design, cognitive testing, question development, QA, and publication. Findings covered by the BMJ, Guardian, Sky News, and BBC.

Survey MethodologyBehavioural MeasurementLLM EvalBias TestingXGBoostAzure MLPythonNLPR

2023–2025

Data Science Graduate

ONS Data Science Campus

Competitive cross-government programme: Python, ML, NLP, reproducible analytical pipelines, AWS/Azure, data science ethics. Selected alongside a small cohort from across government departments.

PythonML · NLPRAPAWS · Azure

2022–2023

Researcher

Care Quality Commission

Designed selection weighting methodology for an ethnic minority sample boost; analysis revealed health inequalities masked by broad ethnic category aggregation, shared with NHS England and the cross-government survey research group. Contributed to cognitive testing and question design for the Adult Inpatient Survey. Translated legacy SPSS pipelines into reproducible R and Python workflows; maintained internal team R package.

Survey DesignCognitive TestingSampling & WeightingRRAP

2022

Consultant

Open University

Advised on methodology design for a study examining how movement of people with DCD is perceived by those with ASD; ensured diagnostic criteria alignment with DSM standards; recruited participants through DCD community groups.

Research DesignPsychometrics

2018–2022

Doctoral Researcher

University of Surrey

Four years of original quantitative research: MRS and fMRI neuroimaging, psychophysics, Bayesian computational modelling. Designed experimental paradigms to disentangle bottom-up information processing from top-down executive inhibitory control. First evidence of GABAergic dysregulation in DCD; four first-author peer-reviewed publications.

Bayesian MCMCExperimental DesignCausal InferenceR · MATLABfMRI · MRS
§3 — Press coverage
§4 — Publications
under review

Sensory atypicality in developmental coordination disorder is associated with cortical excitatory-inhibitory imbalance

Mayes, W. P., Gentle, J., Jones, D., Sattar, O., Papadopoulou, A., Ivanova, M., & Violante, I. R.

Journal of Neurodevelopmental Disorders

2024

Audio-visual multisensory integration and haptic perception in adults with developmental coordination disorder

Mayes, W. P., Gentle, J., Ivanova, M., & Violante, I. R.

Human Movement Science · doi:10.1016/j.humov.2024.103180

2023

Exploring Executive Functioning of Adults With Probable Developmental Coordination Disorder Using the Jansari Assessment of Executive Functions

Mayes, W. P., Jansari, A., & Leonard, H. C.

Developmental Neuropsychology · doi:10.1080/87565641.2023.2264424

2022

The Nature and Influence of Sensory Processing Deficits in Developmental Coordination Disorder

Mayes, W. P.

Doctoral thesis, University of Surrey · Thesis ↗

2021

Top-down inhibitory motor control is preserved in adults with developmental coordination disorder

Mayes, W., Gentle, J., Parisi, I., Dixon, L., van Velzen, J., & Violante, I.

Developmental Neuropsychology · doi:10.1080/87565641.2021.1966431