Designing clarity for AI, data, and healthcare
I turn clinical data, research workflows, and AI systems into clear, usable products for healthcare and research teams.
Senior UI/UX Developer · Yale School of Medicine · Bioinformatics & Data Science
View selected workHi, I'm Daniela, a Product Designer who turns complex systems into clear, usable experiences.
At Yale School of Medicine, I work across AI, data, and healthcare to design products for clinicians, researchers, and data teams.
More about me →Designing tools for complex decisions
Clinical trial platforms, biomedical visualization tools, and AI-assisted research systems, built for the people who use them every day.
How I design for complex systems
Most interface problems are information problems in disguise. Before touching layout or visual hierarchy, I map how data flows, where decisions happen, and what people need to understand. The result is design that feels clear because the structure is clear.
I design with data as the medium, not something to work around. Whether it is citation networks, cohort logic, timelines, or research datasets, the shape of the data often reveals the right starting point for the interface.
A well designed screen solves one problem. A strong design system solves the next fifty. I build reusable components and interaction patterns that carry across projects, so each new product does not start from zero.
I care about what happens after the mockup. By prototyping and implementing in tools like Astro, React, D3, and GSAP, I reduce the gap between the intended experience and the final product.
Let's build what's next
I turn complex AI, data, and research workflows into clear, usable products, from early strategy to polished interfaces and front-end prototypes.
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