Summary
Mialy Defelice is a Data Scientist and former Technical Product Manager with nine years of experience building search and discovery systems, running rigorous A/B experiments, and translating complex technical problems into product strategy. With a PhD in Bioengineering from Stanford and deep roots in research software, she brings a rare combination of life-sciences modeling expertise and production ML/data engineering. She’s led cross-functional teams to deliver FAIR data tooling and search relevance improvements at organizations from Sage Bionetworks to Dropbox and the Allen Institute. Known for shipping scalable data products and debugging nuanced ranking experiments, she excels at balancing relevance and revenue for enterprise customers. Based in Seattle, she quietly blends academic rigor with pragmatic product delivery—often surfacing biological and modeling insights that inform better technical decisions.
9 years of coding experience