Combining the natural sciences and engineering with the technology and tools of data science.
Ph.D. focused on dynamic simulation, optimization, and experimental design—all directed towards increased scientific rigor and computational efficiency. Post-PhD, over four years of experience building models and tools to drive further efficiencies and reduce environmental impact. Now, as a senior data scientist, I get to apply my knack for scientific computing and maximizing efficiencies to solutions for improving business processes, building predictive and prescriptive models for farmer-facing apps, and more.