Summary
Traci Johnson is a Senior Computational Research Consultant and machine learning infrastructure engineer with a Ph.D. in Astrophysics and over a decade of technical experience bridging academic research and enterprise analytics. She has built production Python systems and Bayesian optimization pipelines that saved millions in EBIT and slashed manual run-time by an order of magnitude while managing complex pricing for millions of insurance members at CVS. Her background in gravitational lensing and high-performance supercomputer workflows informs a rigorous, simulation- and uncertainty-aware approach to model design and data reduction. At Kellogg she applies that blend of scientific rigor and production engineering to enable reproducible computational research for business problems. Notably, she has translated niche research skills—like MCMC-driven forward modeling and large-scale data cleaning—into practical ML solutions, including RF and 3D CNN classifiers for safety-critical detection tasks. Based in Evanston, IL, she thrives at the intersection of research, product, and cross-functional collaboration.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics at University of Michigan
High School, High School at Lakeville North High School
Bachelor's Degree, Physics, Bachelor's Degree, Physics at Carleton College