Collaborate with data scientists and software engineers to develop Python packages for processing time-series fermentation experiment data. On my own, I also create and maintain many Binderhub tools to automate routine lab data tasks, which gets used by research associates and engineers.
I am also the liaison between Fermentation scientists and data/software engineering group, tracking and communicating new software, upgrades, issues. I also convey valuable user context to programmers. Additionally, I contributed to company-wide training sessions: semi-intermediate Python; introduction to fermentation data.
In company “Hackweek,” I led a team of three on a proof-of-concept on computing physiological rates using advanced fermentation science and linear algebra; the concept is later adapted to future experiments.
In a more traditional fermentation engineering setting, I apply novel cross-experiment/cross-program analysis using SQL (MySQL, Snowflake) and creative functions to reveal chronic issues in equipment or process.