Cognitive & Computer Scientist
Between
cognitive theory
and computation.— that's where I work.
A decade at the intersection of human data, AI systems, and how people actually think, feel, and make decisions. I work at the layer where cognitive theory becomes computational implementation.
About
What does this
human data actually mean?
That's the core question I've spent the last decade chasing — across very different contexts, but always at the layer between cognitive theory and computational implementation.
My PhD focused on emotion recognition in VR using EEG, fMRI, and eye-tracking. Since then I've applied that foundation across very different contexts: ovulation prediction from physiological signals, emotion recognition from GSR and speech, automated user journeys from behavioural profiling, and UX experiments on VR training across 10 countries.
What connects all of it is the same question: what does this human data actually mean, and how should a system interpret and respond to it. Most recently Head of Science & AI at Stardust (women's health, 2024 – March 2026), and currently Founder of Cognitive Intelligence Development — a consultancy focused on the science layer of intelligent systems.
Through CID, I'm currently developing Nar — a women's health app covering 9 health domains across 6 hormonal life stages, with full science specification including data point logic, signal weighting, and personalised content triggers.
Core competencies
Three layers of the
same question.
Cognitive data interpretation, system translation, and the experimental rigour that connects them.
Cognitive & Multimodal Data
EEG, fMRI, GSR, eye-tracking, speech, behavioural signals. Fusing physiological inputs into coherent multimodal datasets that systems can actually interpret.
Human-AI System Design
Translating cognitive models into system logic. Defining what the data points mean, how to weight them, and how the system should adapt and respond to inferred user state.
Experimental Research
Lab and field studies with human subjects. Designing the experiments, leading cross-functional research teams, running workshops, and turning findings into publishable work.
Research & professional experience
A decade across
health, luxury, and lab.
Head of Science & AI
Owning the cognitive and physiological foundation for ovulation prediction and adaptive content delivery.
- Defined the cognitive and physiological basis for ovulation prediction: which hormone and cycle signals to use, how they interact, how to weight them, and what adaptive content to deliver based on inferred user state.
- Identified where user-reported behavioural data and physiological inputs diverge; specified data quality thresholds and re-architecture of the prediction pipeline.
- Led AI safety review of features targeting young users: assessed how cognitive biases and developmental factors affect how this population interprets system outputs.
Founder & CEO
Consultancy focused on the science layer of intelligent systems: defining what human-generated data means and how systems should interpret and respond to it.
- Currently developing Nar, a women's health app covering 9 health domains across 6 hormonal life stages, with full science specification including data point logic, signal weighting, and personalised content triggers.
Senior Data & Behavioural Scientist
- Designed cognitive science frameworks for coaching analytics: defined which behavioural indicators to capture during human interactions, how to model engagement states, and what outcomes to surface.
Interim CTO
- Led the integration methodology for an emotion-genomics startup: defined how affective computing signals and biological markers should be fused and interpreted as a multimodal dataset.
Lead Cognitive & Computer Scientist, Co-Founder
- Designed and ran experiments in cross-sensory perception, emotion recognition (galvanic skin response, speech analysis), and human equity research.
- Built automated personalised user journey system: profiled users from online behavioural data and mapped cognitive/behavioural profiles to adaptive content pathways.
Advanced Technologies Lead Researcher & PM
- Led VR/AR research and human interaction studies for Gucci, Adidas, Ferrari, and Enel. Defined data collection methods, evaluated interaction quality through user testing, and designed the Gucci Virtual Try-On AR experience.
- Ran comprehensive UX analysis of Enel's VR training system deployed across 10 countries; designed evaluation framework, identified usability failures, specified improvements for multi-language VR interaction.
- Designed VR Cognitive Therapy prototype: VR exergame targeting ADHD/ASD symptom reduction through controlled cognitive load manipulation.
- Authored technology research report for Adidas on emerging product visualisation: brain-computer interfaces, enhanced human vision systems, repurposed sensory modalities.
UX Designer & Product Manager
- Led user research, A/B testing, and interaction design for mobile and web products across multiple industries.
UX Researcher & Community Manager
- Conducted qualitative and quantitative user research (interviews, observation, surveys, analytics) for an e-learning community. Identified user types and mapped engagement patterns.
Additional advisory & lead-scientist roles
Advanced Tech & Human Engagement Scientist, Neuroscape/Debut (Canada, 2020–Present) · UX Manager, Checlabs (LA, 2021) · Advisor Cognitive Science, Jeeny.AI (Berlin, 2021) · Lead Scientist, Humanaut (TN, 2020) · Lead Scientist, Noumena Global (FL, 2020).
Builds
Things I've shipped at CID.
Beyond research, I prototype and ship — turning the science layer into actual products.
Nar
Women's health app covering 9 health domains across 6 hormonal life stages. Full science specification including data point logic, signal weighting, and personalised content triggers.
Prism
Sales conversation intelligence powered by cognitive science. Analyzes call transcripts via Claude LLM pipelines with cognitive-science frameworks. 0–100 scoring, deal risk, win probability.
AIM
AI-powered goal achievement. Conversational creation flow, safety validation, prompt-injection detection, structured output parsing. SwiftUI + FastAPI backend.
TinyTaste
Baby weaning & nutrition intelligence. Tracks food introduction with reaction scoring and allergen flagging. AI-powered insights and seasonal produce suggestions.
Select research papers
Published thinking.
Five papers on ResearchGate from PhD and earlier research — perception, cognition, AI, and immersive technology.
Implications of 3D and 2D Graphics: Short-Term Memory for AudioVisual Narrative
EEG-based study on information retention across stereoscopic formats.
Future Thinking Machines: Turing or Hawking?
Analysis of consciousness, cognition, and artificial intelligence.
How Does VR Affect the Future of Cinema?
Perceptual realism and dimensions of reality in immersive environments.
Gallery ONE: ArtLens AR Analysis
Interaction analysis of augmented reality in museum engagement.
Consciousness or Awareness?
Comparative philosophical analysis (Plato and Kant) on perception and cognition.
Education
Trained across
three countries.
Methods & tools
From brainwaves to backends.
Neuroscience & biometric
EEG, fMRI, eye-tracking, galvanic skin response (GSR), non-invasive brain stimulation.
Experimental
Human-subject experiment design (lab and field), A/B testing, usability testing, survey design, workshop facilitation.
Analysis
BigQuery (SQL), SPSS, MATLAB, Google Analytics, Python and R for analysis.
Design & prototyping
Figma, Miro, Axure, InVision, Adobe Creative Suite.
AI-assisted development
Claude Code, Anthropic API, React Native / Expo, SwiftUI, Supabase.
System & infrastructure
FastAPI, PostgreSQL, Redis, Docker, Firebase, real-time pipelines (WebSocket / SSE).
Contact
Let's work on something human.
Open for research collaborations, AI safety reviews, system-science consultancy, or just a thoughtful conversation about what your data actually means.