Get the right biomedical data in minutes. Power faster clinical research.
Leading design for an AI-native platform where scientists discover and use large-scale biomedical datasets to build health AI models for clinical decision making and research.
Build care pathways in days, not months.
Designing a platform for building personalized care pathways for populations with chronic conditions like diabetes based on the latest care standards.
2M+ Covid tests delivered across 12+ states.
Designed end-to-end consumer experiences for COVID testing and research enrollment during a rapidly evolving crisis, supporting programs that reached millions of tests across 12+ states, including research participation at large scale.
Pushed national adoption of oncology data standards.
Prototyped voice-driven clinical capture and future EHR experiences to advance an oncology data model later adopted into an international healthcare data standard (FHIR).
Visualizing health complexity.
Designed and produced illustrations, data visualizations, and animations on complex health topics adopted by 60+ organizations, including universities, agencies, and scientific journals.
Most healthcare products fail because they don’t fit reality.
I design for both reality and what healthcare can become.
While shadowing clinicians, I’ve seen fax machines still used to exchange patient data. I’ve seen finished products fail because there’s no reimbursement path. And at the pixel level, I’ve prevented dashboards from becoming HIPAA risks, where a single filtered datapoint could expose a patient’s identity.
I design within these constraints, translating complex health data and AI models into tools that support real clinical decision-making at the population level.
I’m currently pursuing a Doctor of Public Health Informatics at Johns Hopkins University to deepen my ability to do product strategy within health systems: reimbursement, regulation, interoperability, and clinical operations, so that what gets built is viable in real-world care.
At the same time, I design towards what healthcare can become: AI colleagues that clinicians can interrogate, not just accept. Systems that learn from the full context of people’s lives through the social determinants of health. Care that moves from reactive to continuous and preventative, personalized to our values and goals.
Designed for population health with:
