I'm a practicing, board-certified internal medicine physician and software developer experienced in
creating digital health solutions leveraging machine learning, wearables & medical devices,
and health data interoperability standards.
I started learning to code at a young age and have always been excited about digital health.
During my medical training, I did early work developing clinical applications with conversational AI and
wearables as well as extracting insights from unstructured health data using machine learning. I also
co-founded a startup that developed software to help physicians prioritize free-text clinical reports.
In the early stages of the COVID-19 pandemic, I developed digital solutions that were deployed in the UK, Sweden
and Germany.
Currently, I am the lead architect and developer of CardinalKit, a framework for building modern, interoperable digital health
applications at Stanford University's Byers Center for Biodesign. I have worked with over 15+ teams at Stanford and other institutions to build and deploy clinical,
research, and consumer health applications with CardinalKit. In addition, I have worked with the
Stanford Center for Digital Health
to create a semi-automated remote hypertension management system integrated with Epic.
I also teach Stanford Biodesign's digital health
course (CS342), a unique project-based course in which students build real-world digital health applications
in collaboration with Stanford School of Medicine faculty.
I've participated in developing the first family of international mobile health data standards for
the IEEE and mentoring engineering students at The George Washington University on
applying machine learning to assist in early disease detection for the Children's National Hospital. I am also
the technology advisor to Telehelp Ukraine,
an initiative started by Stanford students to provide free telehealth services to people displaced by war.
