I came to digital health through engineering. I’m interested in health, but my work is mostly about the systems around clinical data: how to make sensitive data usable across institutions without centralizing it or weakening privacy. That led me to federated learning.

Computer engineering / data science

I help develop & maintain our vantage6 infrastructure, lend support to centers/hospitals, and sometimes contribute to the vantage6 code base itself.

I think advances in AI (LLM) can help with data homogenization.

I would advise not getting discouraged by how much messier the real world is than controlled local demos might make it look. A local demonstration is only one part of the problem to solve.

People might think most of the work is developing methods for analysis. But, unfortunately, a lot of time is still spent just making sure details are aligned: data labels (homogenization), configuration details, coordination, communications, etc.