I'm a researcher and builder working at the intersection of neuroscience and artificial intelligence. Currently studying MSc Clinical Neuroscience at the University of Roehampton (London), with a background in Clinical Psychology (BSc Hons, London South Bank University).
My work spans from building real AI systems β autonomous research agents, custom hardware assistants, and MCP-integrated workflows β to academic research in neuroinflammation, the gut-brain axis, and psychopharmacology.
- π§ Built a custom AI assistant on ESP32-S3 hardware with self-hosted inference and Anthropic API integration
- π€ Developed an autonomous research agent using a ReAct reasoning loop with PubMed search and importance-weighted memory
- π Authored a tetrad of frameworks for human-centred AI β Friction Protocol, Humanising Loop, Attunement Audit, and Handoff Threshold
- 𧬠Designed the MICROBE-D Study β a proposed RCT investigating Bifidobacterium breve CCFM1025 for depression
- π¬ Ask me about: neuro-AI, psychopharmacology, LLM interpretability, brain-computer interfaces, gut-brain axis
- π§ Clinical Neuroscience β Neuroinflammation, BBB dysfunction, glymphatic system
- π Psychopharmacology β Drug-brain interaction modelling, MAOI mechanisms
- π¦ Gut-Brain Axis β Microbiome-mediated mechanisms in neuropsychiatric conditions
- π€ AI Humanisation β Affective computing, empathetic AI, conversational agents
- π Mechanistic Interpretability β Understanding what happens inside transformers
- β‘ Brain-Computer Interfaces β EEG-based systems, neural signal processing
| Project | Description | Status |
|---|---|---|
| π€ Sol AI Assistant | Custom AI assistant on DeepSeek XiaoZhi ESP32-S3 hardware, self-hosted via xiaozhi-esp32-server with LiteLLM β Anthropic API routing |
β Built |
| π¬ ReAct Research Agent | Autonomous Python agent with ReAct reasoning loop, Anthropic API, PubMed search integration, and importance-weighted memory store | β Built |
| π Friction Protocol | Original pedagogical framework for AI-augmented learning β bridging Polanyi, SchΓΆn, Floridi, and Vygotsky | π Published in coursework |
| π¦ MICROBE-D Study | Proposed 12-week RCT: B. breve CCFM1025 as adjunctive treatment for mild-to-moderate depression, featuring 16S rRNA sequencing and inflammatory biomarkers | π Study design complete |
| π§ neuro-ai-bridge | Mapping neuroscientific principles onto deep learning architectures β Hebbian learning, SNNs, predictive processing, hippocampal memory | π§ Active research |
| π€ humanising-ai | A tetrad of frameworks for emotionally intelligent, human-centred AI β Friction Protocol, Humanising Loop, Attunement Audit, Handoff Threshold β with reference implementation across affective, theory-of-mind, dialogue, and explainability modules | π§ Active research |
| π llm-interpretability-notes | Research notes and experiments on mechanistic interpretability of LLMs β residual stream, attention circuits, SAEs, activation patching | π§ In progress |
| π neuro-readability | Neuroscience-informed CLI tool scoring text for cognitive load and readability | π Python |
The three research repositories form a deliberate triangle:
neuro-ai-bridgeβ what brains do β biological learning mechanisms as inductive bias for AIllm-interpretability-notesβ what models do β reverse-engineering the internal computations of transformershumanising-aiβ what models should do β frameworks and implementations for AI that behaves in a way that is legible, attuned, and safely bounded
Together they triangulate a single question: how do we build AI systems that are both mechanistically understood and humanely aligned?
- Brain-computer interfaces and EEG signal processing for real-time neurofeedback
- Spiking Neural Networks (SNNs) as biologically plausible learning systems
- The role of attention mechanisms as analogues to human selective attention
- Ethical frameworks for emotionally responsive AI
- Transformer interpretability via activation patching and probing classifiers
- MCP server integrations for research workflow automation
MSc Clinical Neuroscience β University of Roehampton (2025βpresent) Targeting Distinction | Focus: neuroinflammation, psychoneuroimmunology, psychopharmacology Key outputs: BBB & glymphatic dysfunction in Huntington's disease, B cells in MS, microglia in MND
BSc (Hons) Clinical Psychology β London South Bank University (Graduated 2025) Dissertation on empathy and emotional contagion in couples (2.2)
I'm open to research collaborations, PhD opportunities in neuro-AI or psychopharmacology, and research assistant roles. Always happy to nerd out about consciousness, computation, and the spaces in between.
"The brain is wider than the sky." β Emily Dickinson