$500B is wasted on U.S. healthcare administration every year. I build tools to drive that number down.
AI platform for hospital inventory optimization
End-to-end prototype for hospital supply chain operations: predictive analytics, real-time inventory visibility, and automated reorder recommendations — with Joint Commission readiness baked in (expiry tracking, par-level audits, recall surfacing) so compliance isn't a separate workstream.
Open project → Watch demo →Shared patient summary for multidisciplinary care
Multidisciplinary care teams often over-share patient information or fragment it across siloed notes. Provider Connect gives each practitioner a role-appropriate view of the same patient's clinical picture — built around role-based access and patient consent, so coordination doesn't come at the cost of exposure.
Open project →
I'm Arielle, an MPH candidate at UC Berkeley focused on
healthcare operations, strategy, and AI-driven systems design. My interest in healthcare operations started through hands-on experience in hospital safety and accreditation, where I supported Joint Commission International (JCI) compliance efforts and worked across departments to improve processes. Through that work, I saw that many of the biggest challenges in healthcare don't come from clinical care itself, but from the operational systems behind it — fragmented workflows, administrative burden, and inefficiencies that slow everything down.
Since then, I've focused on understanding and identifying bottlenecks
within healthcare systems by analyzing existing workflows and how they function in practice. My work centers on continuously learning from current processes and using those insights to design and prototype solutions that reduce operational friction. I actively leverage and stay up to date with emerging technologies, including agent-based AI systems, to push workflows to their highest efficiency and improve how complex systems operate.