Physiological Signal Modeling with Deep Learning
Heart Rate Variability interpreted via deep learning, spanning peer-reviewed research and patented methods. Focused on extracting clinically meaningful structure from noisy physiological data.
I design systems that think.
AI & software development consultant. Fractional CTO and Head of AI for startups and scale-ups, with focus on technology and healthcare.
Heart Rate Variability interpreted via deep learning, spanning peer-reviewed research and patented methods. Focused on extracting clinically meaningful structure from noisy physiological data.
Uncertainty-aware modeling and inference in deep systems, with emphasis on robustness, interpretability, and decision-critical applications.
Research on LLMs as computational systems, including Herbert, with focus on behavior, structure, and applicability beyond prompt-level usage.
This page writes itself: causal attention over character-trigram embeddings, words sampled from a 3-gram model trained on the text you are reading. Nothing is keyframed. Hover any word to see what it attended to.