MD working at the intersection of medicine, AI, neuroscience, and nature-inspired design to build transformative healthcare solutions.
Current Work
As Chief Medical AI Officer at Scienza Health, I lead the development of AI-enabled, conversational digital humans for healthcare operations with a focus on ambient cognitive screening. My work spans 1) technical development of cloud-hosted, autoscaling, multimodal (e.g. voice, video, text, biometric) AI systems serving 100,000s of providers and patients; 2) specific regulatory strategy for FDA clearance of digital health software SaMD (Software as a Medical Device); 3) clinical stakeholder and partnership development.
At Cortechs.ai, I developed FDA-cleared brain volumetric analysis tools, including those for supporting the assessment of Alzheimer's, multiple sclerosis, and brain tumor disease progression. I serve as technical advisor to several startups and academic groups, such as EpiFocus (pre-symptomatic seizure prediction using connectivity and chaos measures) and the Pitt HexAI Lab at the University of Pittsburgh.
Background
I completed my MD at Mayo Clinic Alix School of Medicine, where I helped build and scale an NLP-based patient portal message triage system called at Domi (previously R00T). I earned an MS in Biomimicry at Arizona State University. As a research fellow at the NIAID, I studied NK cell receptor dynamics under Dr. Sumati Rajagopalan and Dr. Eric O. Long. For undergraduate training, I earned a BS in biochemistry with a genetic bioinformatics focus from University of Illinois at Urbana-Champaign, studying tRNA and mycobacteria under the mentorship of Dr. Susan Martinis. I had the privilege to work under Dr. Pål Stenmark as part of an exchange program with Stockholm University to study structural biology and crystallography for evaluating nucleotide-based cancer drug targets.
Born and raised in Orland Park, Illinois. Currently based in Scottsdale, Arizona 🏜️
Vision for the Future
"The future is already here, it's just not evenly distributed." - William Gibson
See more in the latter part of this talk.
- Quantum Biology & Computing: Exploring quantum effects in biological systems to inspire next-generation health AI with real-time inference capabilities
- Biomimetic System Design: Learning from nature's 3.8 billion years of R&D to create adaptive, resilient AI architectures — fractals, membranes, gels, crystals, etc.
- Theragnostic Innovation: Developing light and sound-based technologies that simultaneously diagnose and treat disease with high precision and safety
- Information-Theoretic Biology: Understanding consciousness, neural transmission, and molecular signaling through computational lenses
- Evolutionary Computing: Building systems that adapt and evolve like biological organisms for self-improving healthcare solutions