SOURCE•NEURO

AI consulting for:
Neurotech • Biosensing • Deep-Tech Sensor systems

I help teams build AI-enabled biosensing systems across biomedical, neurotech, health, and deep-tech applications.Whether you're developing novel sensors in-house or working with off-the-shelf wearables, I transform human signals into products that work beyond the lab: reliable, interpretable, and built to scale.

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Services

I support work across the product development lifecycle, from early technical direction through prototyping and deployment.Feasibility & Strategy: Helping teams identify which signals, sensors, and AI/ML approaches align with their goals.System Prototyping & Development : Signal processing, data integrity, modeling, and pipeline development as systems mature toward deployment.Technical Advisory & Review: Ongoing technical guidance for teams working through sensing, modeling, or validation decisions.How engagements begin: A short conversation to understand your goals and what you're building.

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About

I build AI systems that decode signals from the brain and body, combining first-principles biophysics with AI/ML to create models that work beyond controlled lab settings.My technical focus is signal processing, neural network architectures, and data quality, grounded in physiology and in the data itself. That includes experiment design and data collection, close collaboration with hardware teams as sensing designs iterate, and working with end users so models are trained on data that reflects real use.I've worked across EEG, EMG, fNIRS, PPG, OPM-MEG, and multimodal systems, from consumer devices to clinical ER environments. My research in deep learning for neural signals is foundational to the field, with thousands of citations.Today, I work independently with teams developing sensors, wearables, and sensing-driven products.

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