Why I write about AI & healthcare
When you live with a chronic condition, you quickly learn two things:
- The healthcare system is not built for the long haul
- The future can’t come fast enough
That’s what brought me here.
After spending years navigating complex care systems — as a patient, caregiver, and advocate — I began looking for something more sustainable. Something that could bridge the gap between clinical precision and human needs.
That “something” turned out to be artificial intelligence.
But not the AI that floods your inbox or fills pitch decks.
I’m talking about AI as a partner in care — the kind that supports physicians, empowers patients, and learns to listen.
To make that vision real, I went back to school (a lot of them).
I’ve spent the last few years studying the intersections of technology, healthcare, and strategy through programs offered by institutions I trust, while also building and testing my own AI tools for patient support.
🎓 Selected Certifications & Training
Google Cloud
- Generative AI for Healthcare
- Machine Learning with Google Cloud
- Prompting Essentials
- AI Essentials
- Digital Transformation with AI/ML
Wharton School (University of Pennsylvania)
AI for Business Specialization
- AI Fundamentals for Non-Data Scientists
- AI in Marketing, Finance & People Management
- AI Strategy & Governance
IBM
- Generative AI for Executives
Johns Hopkins University
- Data Science Specialization
Other Programs
- Storytelling with Data – Coursera
- Healthcare & AI Program – Stanford
🛠️ Tools & Platforms I Work With
- Vertex AI & Google Cloud
- Glide App Builder (Prototype: Emma)
- RAG (Retrieval-Augmented Generation)
👋 Why This Matters
The world doesn’t need more tech for tech’s sake.
We need technology that understands care is a relationship, not just a record. That’s the standard I’m working toward, and why every insight I share here is shaped by both training and truth.