Summary
Frank Burkholder is a senior data scientist based in Denver with 10 years of applied experience using forecasting, simulation, and optimization to improve logistics and healthcare delivery. He currently helps Shelf Engine reduce food waste and boost grocery margins through demand forecasting and inventory management, and previously built a vehicle-routing simulation and routing constraints at DispatchHealth to enable ER-level care at home. His background spans teaching advanced data science, managing R&D teams, and hands-on engineering—he holds a PhD in civil engineering and has patented low-cost heliostat hardware that combined ML-driven calibration with field deployment. Frank blends rigorous experimental design and production ML engineering, is comfortable contributing code and end-to-end tests, and has a history of turning research prototypes into operational systems. He’s driven by applying values-aligned, consented data to measurable societal impact, from renewable energy to healthcare logistics.
10 years of coding experience
20 years of employment as a software developer
Data Science Certification, Data Science Certification at Galvanize - Denver, Platte
Master’s Degree, Mechanical Engineering, Master’s Degree, Mechanical Engineering at University of Wisconsin-Madison
Doctor of Philosophy (Ph.D.), Civil Engineering, Doctor of Philosophy (Ph.D.), Civil Engineering at University of Colorado Boulder
Bachelor’s Degree, Biology, Bachelor’s Degree, Biology at Stanford University
English, Spanish, oshiwambo