Areas of Practice

Applied AI

Bringing Human Expertise into AI Systems

  • Reviewing AI outputs for accuracy, relevance, and bias

  • Contributing domain-informed training data

  • Evaluating model performance across real-world scenarios

  • Providing structured feedback to improve reliability and alignment

  • Supporting quality assurance using psychology, neuroscience, and healthcare knowledge.

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Clinical Research

Bringing Research into Practice

  • Study set-up, coordination, and close-out support

  • Recruitment support and participant engagement

  • Maintaining Trial Master Files (TMFs) and Investigator Site Files (ISFs)

  • Case Report Form (CRF) completion and data quality checks

  • Supporting GCP compliance and documentation

  • Liaising with clinicians, research teams, and sponsors

  • Assisting with site initiation visits (SIVs) and study monitoring activities

Close-up view of a laboratory tray filled with small test tubes, with a pink liquid being poured into one of the test tubes.

Specialist Insight

Translating Evidence into Action

  • Applying psychology and neuroscience expertise to research and AI projects

  • Supporting evidence-based decision-making in healthcare and research contexts

  • Interpreting research findings for practical application

  • Providing subject-matter insight to inform study design or evaluation

  • Bridging research, clinical practice, and applied technology

Researcher pointing at electron microscope images on two computer monitors in a laboratory.

“Where evidence is complex and decisions matter, clarity makes the difference.”

Chloe Mitchell