Scientific organizations generate enormous amounts of specialized data, but getting that information into a form researchers can consistently access, analyze, and use can be difficult. Generic IT solutions often don't account for how scientists actually work. Scientific teams, meanwhile, may not have the technology infrastructure or expertise required to build the systems they need.

I bridge that divide. Drawing on my background in science, bioinformatics, data, machine learning, and technology architecture, I help life science and biotech organizations build practical systems around the way their researchers and their data actually work.