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ryanthomaslee/README.md

Hi, I'm Ryan 👋

I work at the intersection of behavioural science, organisational strategy, and applied AI. My focus: turning clinical and psychological research into tools and systems that organisations can actually use.

Currently completing an MSc in Psychology and Neuroscience of Mental Health at King's College London, where my research focuses on:

  • Quantifying and mitigating occupational burnout
  • Evaluating the neurodevelopmental impacts of AI in educational technology

I'm the founder of JAI Behavioural, where I help organisations design evidence-based interventions for workforce wellbeing and AI governance.

🛠 What I Build With

Research & Analytics — R, SQL, Python, Tableau, statistical modelling for behavioural data
Engineering — Next.js, React, Firebase, Python (XGBoost, Streamlit, pandas)
Frameworks — The NEU Framework for burnout, AI Governance Readiness audits

🚀 Featured Projects

JIT Platform — Full-stack web app operationalising the NEU Framework. AI-driven burnout assessments and personalised recovery protocols.

NEU Pilot Analysis — Statistical analysis in R evaluating pre/post-intervention burnout domain shifts across an initial cohort.

JAI-TRADING-RESEARCH — Market intelligence dashboard for stocks and crypto. Walk-forward ML backtesting, calibrated probability scoring, Streamlit web UI. A research project exploring whether ML adds edge over passive holding (honest answer: it doesn't, after costs — and the README explains why).

📫 Let's Connect

Popular repositories Loading

  1. NEU-PILOT-ANALYSIS NEU-PILOT-ANALYSIS Public

    Behavioural analytics pilot evaluating burnout intervention efficacy using the NEU Framework and R-based statistical modelling.

    R

  2. ryanthomaslee ryanthomaslee Public

  3. JIT JIT Public

    AI-driven burnout assessment and recovery platform operationalising the NEU Framework through behavioural science, analytics, and personalised intervention systems.

    TypeScript

  4. JAI-TRADING-RESEARCH JAI-TRADING-RESEARCH Public

    AI-powered market intelligence dashboard for stocks and crypto. Daily ML-scored signals with honest backtest validation. Built with Python, XGBoost, Streamlit.

    Python