I love data. As a kid I observed my father tracking his blood glucose blood levels to manage his diabetes. The numbers on the glucose monitor indicated the quality of his health and alerted when action was required. I learned early on that the data we collect about ourselves and the world have extraordinary value.Decades later, I pursued a Neuroscience PhD with an emphasis on computational methods and data analysis. Here I gained extensive experience building data analysis pipeline lines from scratch (Python and MATLAB), custom digital/analog experimental hardware, time series analysis, signal processing, modeling, and inferential statistics, to analyze large volumes of rodent neural activity data. In subsequent startup work I learned the tools of the trade in an applied setting, where I became proficient in SQL, git, computer vision, and writing documented and testable code in Python, producing data visualizations and distilling insights for technical/nontechnical folks.What sparks joy in me is taking complex datasets and extracting insights that have big impact.