Mialy is a Data Scientist working in applied AI at the Allen Institute, where she builds tools designed to accelerate scientific discovery. Her current work focuses on developing agentic AI tools that automate complex scientific workflows.

Mialy's career spans the full arc from bench to software. She began as an experimental researcher and computational modeler before transitioning into data science and software engineering roles. She has prior experience in tech, and before that, she served as a research software engineer at Sage Bionetworks, where she built open-science data infrastructure and FAIR data tooling — including schema visualization tools and metadata validation pipelines — enabling large-scale data sharing and collaboration across research consortia.

Mialy holds a Ph.D. in Bioengineering from Stanford University, where her thesis work combined experimental work with whole-cell computational modeling to investigate the the role of operon structure on the co-expression of sub-generationally expressed genes in E. coli. She also holds a M.S. in Biology from the University of Rochester, where she studied ribosome biogenesis, and a B.S. in Microbiology and Cell Science from the University of Florida.