I am SVP of Compute at insitro, where I lead Data Science, ML, Software Engineering, Product Management, and IT. Designed and oversaw building out software systems across our company ranging from our lab's data generation (LIMS, Orchestration, QC visualization, automation integrations), to scientific compute workflow engines and data stores in the cloud (redun, spark, WDL, TileDB, Athena, data lakes, data warehouses). As a member of the executive team, I also develop policy, processes, and strategy for my products and departments.

Previously, I was a VP of Software Engineering at Myriad Genetics working with engineering teams ranging from LIMS, Variant interpretation and reporting, Medical Billing, SRE, and Technical Program Management.

From 2013 to 2018, I was an engineer and later a Director of Software Engineering at Counsyl. Our team focused on various computational challenges in genomics: variant interpretation, disease risk calculations, automated genomic data pipelines, and applications of machine learning.

Before industry, I was a postdoc in Adam Siepel's lab at Cornell, where I worked on computational methods at the intersection of phylogenetics and population genetics.

In 2010, I finished my Ph.D. in Computer Science at MIT. My Ph.D. advisor was Manolis Kellis and I was a part of the Compbio lab. During my Ph.D., I worked on comparative genomics and phylogenomic algorithms for accurately reconstructing gene trees.

I have a M.S. in Computer Science from MIT, and a B.S. in Math and Computer Science from the University of Minnesota. I worked on visualization for clustering methods.