Computational neuroscience × applied AI
A computational neuroscientist, building AI for brain prediction.
I help research, clinical, and pharma teams design how AI and foundation models work on neural data — and I'm building the platform that does it at scale.
Who I work with
A few kinds of teams sitting on neural data with something real to build.
Device & Platform Companies
Series A–C · FDA-track or CE-marked
- You have hardware and neural signal data but no AI strategy
- You need AI features that survive regulatory scrutiny
- Your investors are asking about the AI roadmap
- You want a cleared or clearable AI layer, not a prototype
Best fit
Fractional Chief AI Officer, with strategy up front
Clinical Researchers & Scientists
Academic labs · CROs · pharma R&D · hospital networks
- Running trials with EEG, MEG, LFP, or implant data
- Need biomarker models that hold up to peer review
- Want predictive endpoints, not just descriptive stats
- Building toward commercialization of research findings
Best fit
Research partnership, plus strategy on methodology
Entrepreneurs & Founders
Pre-seed–Series A · neurotechnology
- Building a neurotech product for the first time
- Need someone who knows both the neuroscience and the AI
- Want to avoid costly bets before you've found PMF
- Looking for a technical co-pilot, not a consulting deck
Best fit
Fractional Chief AI Officer, with strategy to de-risk
Services
How I work with teams
Three ways to bring me in — from a single strategic question to embedded leadership.
AI & brain-data strategy
Research leaders · clinical teams · pharma R&D
Before anyone writes a line of code, I help you figure out what's worth building — and how.
- Where foundation models create real value in your data
- A prioritized roadmap scoped to your goals
- Methodology and study design you can trust
- An honest read on what's feasible now vs. what isn't
Fractional Chief NeuroAI Officer
Teams building a brain-data capability without a full-time hire
I design the approach and direct the build. You get an architect, not just an advisor.
- Technical direction and model architecture decisions
- Hands-on analysis scoped to the right people
- Translation between the science and the product
- From first prototype to a result you can stand behind
Research partnership
Universities · hospitals · labs
I partner on the science — turning your data into peer-reviewed work and real capability.
- Study design and analysis methodology
- Co-authorship on resulting publications
- Support on grants and joint proposals
- Bridge between clinical questions and machine learning
What the engagement covers
From raw signal to production AI.
Everything neurotech research and clinical teams need — from first data audit to a system your engineers can own and operate.
How an engagement runs
From inside,
not from a deck.
A four-phase engagement designed to make me redundant on purpose — your team owns it when we're done.
The practitioner
A decade at the intersection of neuroscience and applied AI.
I've spent my career at the intersection of neuroscience and applied AI — modeling brain dynamics and neural criticality, applying machine learning to real EEG data, and building production AI systems in industry, from multi-agent LLM systems to computer vision.
I know which approaches survive contact with real neural data, and which collapse the moment they meet your biology. I make the call from the signal, not from a vendor's benchmark sheet.
Engagements
Three ways to work together.
No discovery theatre, no "contact sales." Where I can put a number on it, I do.
Research partners
clinical researchers & academic labs- Study design and analysis methodology you can publish
- Predictive and biomarker modeling on your data
- Co-authorship on the resulting papers
- Joint grant applications and proposal support
Scoped around the science and the funding — through co-authorship or a grant line, not a monthly fee.
Start a collaborationPharma & enterprise R&D
custom programs- Senior AI and scientific advisory across your program
- Embedded technical leadership for a defined initiative
- Predictive modeling and methodology for trial and neural data
- Scope and terms set to the program
Larger programs are scoped custom — let's size it to what you're trying to do.
Talk through a programPlatforms built
I don't just advise on NeuroAI.
I build it.
Across clinical, research, and consumer neurotech — production platforms that close the gap between neural data and real-world decisions.
Clinical Practice Management
Patient management, progress tracking, and integrated EEG + questionnaire data for neurologists and neurotech clinicians
EEG + questionnaire fusion · longitudinal tracking · multi-agent AI · HIPAA-compliant
Consumer Neurotech
Brain data upload & analysis platform for biohackers & quantified-self users
Multi-agent AI · EEG parsing · plain-language insights
Clinical Trials
Foundation-model predictions for trial endpoints & responder stratification
Foundation models · biomarker signals · Phase I–III · in development
Device Intervention Tracking
A Strava for brain health — tracking device-based and lifestyle brain interventions over time
Covers neurostimulation, meditation, sleep, and wearable-based interventions · longitudinal brain health scoring · personalized response tracking
More coming
New platforms in active development across clinical, research, and consumer neurotech
Have a use case in mind? I'm always interested in where neural data meets unmet clinical or research need.
Start a conversationLet's work together
The right AI strategy starts with the right signal.
If you're sitting on neural data with something real to build — let's find out if I'm the right person to help.