I'm Elsa and I like engineering and I like data. To me that means full stack collaboration all the way from instrumentation, though automation, and into presentation.
Recently I've spent a few years on teams of under 20 people doing everything from data engineering to managing customer integrations. This recent work has applied my experience in data quality, reliability, and explainability.
I joined Pinterest as a full stack Software Engineer. Over time I focused on data and became a tech lead on the Business Intellegence engineering team. In my later years at Pinterest I partnered with Finance and Infrastructure Engineering on cost allocation for cloud planning and governance.
I spent two fiery years in interdisciplinary technical consulting at Exponent, where I provided rapid hands-on testing, troubleshooting, and litigation support related to consumer products such as appliances and automobiles.
At Stanford I did my doctoral work in the lab of Markus Covert. There I spent my time building mathematical models of microbial metabolism. My favorite contribution was re-engineering the objective functions of steady state population models better acomodate the heterogeneity of single cells. My academic time included a more software engineering than is typical: to combine different types of modeling you need APIs and to code larger projects you need version control and testing. As an undergraduate I studied at the University of Colorado, Boulder.