Alessio Signorini

CTO & Co-Founder at Evidation Health - Technologist, Product Leader, AI Researcher

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Santa Barbara, CA

I’ve been working on ML/AI since before it was cool — started with a PhD in AI & Epidemiology at the University of Iowa, worked in big search engines, launched a couple of startups, and more recently co-founded Evidation Health, a $1B digital health platform deeply infused with AI, where I lead a cross-functional org spanning product, engineering, infrastructure, security, data science, and TPM.

Search Dir. of Technology at Ask.com - relevance, classification, 7 patents
Ranking Dir. of Search at OneRiot - real-time social signals (→ Walmart)
Vision Co-founded IMRSV, CTO - computer vision for billboards (→ Kairos)
Health Co-founded Evidation, CTO - product & eng, wearables/EHR, health AI

I’m a very active technologist, tinkering daily with hardware and software on many projects, from IoT sensors to apps and LLM-powered tools. I advise and invest in early-stage startups, so let me know if you are building something cool.

I’m also a regular speaker at industry and academic conferences on topics ranging from AI and health tech to search and digital biomarkers. My research spans web search, disease surveillance, and digital biomarkers: 18 publications, 10 patents, and ~3,000 citations on Google Scholar. I am a TechStars and Rock Health alumn, and a Robert Wood Johnson Foundation award recipient. Feel free to reach out via email or connect on social media.


currently exploring

VS Extension for Coworking — Next-gen IDE will have to be built around LLMs/human interaction. I am experimenting with what that may be. Code, graphs, explanations on the edges. The machine writes the code but the human architects it and is in the know.
Claude Cowork — Pair programming with AI agents — how multi-agent collaboration is changing the way code gets written.
OpenClaw — Open-source personal assistant with memory, personality and initiative. Trying to run my own on a cheap Fly.io machine and interact with it via Telegram.
Requirements as Code — Encoding requirements so AI agents can follow them — moving from natural language specs to machine-verifiable constraints.
Fine-tuning LLMs for corporate codebases — Context management at scale — exploring how to fine-tune models on proprietary code without leaking sensitive data.

latest thoughts

Teladoc and COVID Paved the Way for AI Doctors — Teladoc and the pandemic made completely normal to discuss your health concerns over a video meeting.
Securing OpenClaw via Proxy — An elegant solution for keeping OpenClaw from leaking credentials could be to put a proxy server between the bot and the outside world.
Startups Are Now Just MVPs for Tech Giants — Until recently, startups had a genuine speed advantage. Big corporations were tangled in bureaucracy, committees, and endless approval chains. A small team could ship innovative products in weeks while enterprise companies took months (or years). But Large Language Models changed everything.