I came back to mathematics. I brought everything else with me.

My first professional language was mathematics: numerical linear algebra, partial differential equations, eigenvalue problems, preconditioners, simulation.

During my PhD at the Otto-von-Guericke University and the Max Planck Institute in Magdeburg, Germany, and later as a postdoctoral researcher at UBC in Vancouver, Canada, I developed numerical algorithms for complex physical, biological, and graph-based systems. That work taught me how to live with difficult problems for a long time — and how to care about both mathematical rigor and computational efficiency.

Then my career widened. I moved into educational technology, industrial data science, business intelligence, and analytics. At Cascadia Scientific I modeled industrial fuel consumption; at REW I helped shape an organization-wide Tableau practice; at HelloFresh I built data workflows and analytical interfaces supporting operations across more than 150,000 weekly orders.

In 2026 I returned to scientific computing and research as a Senior Computational Scientist at Q Endeavors, working on high-performance algorithms for complex molecular systems. Back to mathematics, now with a much stronger instinct for users, interfaces, and communication.