Summary
Brant Abeln is a Senior Data Scientist with 11 years of applied experience and a total of over two decades solving computational problems across DoD, finance, and technology sectors. He builds governable MLOps frameworks and production AI/ML pipelines that have cut deployment timelines from months to weeks and delivered seven-figure annual value through underwriting, marketing, and segmentation models. A PhD in chemical physics and an NSF Graduate Research Fellowship underpin his ability to translate complex scientific algorithms into scalable production systems and novel sensor-driven forecasting models. He has led cross-functional teams, founded a data science guild to spread best practices, and demonstrated early generative AI proofs-of-concept to accelerate cybersecurity and data center stabilization. Outside enterprise delivery he designs accessible AI/ML outreach for K–12 audiences and has a track record of mentoring students and interns, reflecting a commitment to building talent pipelines. Based in the Omaha area, he combines deep research rigor with pragmatic engineering to turn high-risk analytical problems into auditable, business-impacting solutions.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Chemical Physics, Doctor of Philosophy (PhD), Chemical Physics at University of California, Davis
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Drake University