Christopher Endres is a senior data scientist in Baltimore with 11 years of industry experience applying cloud computing and big data techniques to fraud detection, financial surveillance, healthcare analytics, and media operations. He progressed from academic PET imaging and pharmacokinetic modeling—where he developed custom C++ analysis tools and led imaging dosimetry studies—to production analytics roles at FINRA, T‑Rex, and Sinclair, blending rigorous quantitative methods with scalable cloud architectures. His work shows a rare combination of domain depth in medical imaging and practical expertise deploying advanced analytics to detect anomalous behavior in large transactional and census datasets. At Sinclair he now applies those skills to optimize media workflows and audience analytics, translating experimental methods into operational insights. Colleagues describe him as someone who turns complex scientific models into reliable, production-ready systems that surface actionable signals.
11 years of coding experience
20 years of employment as a software developer
Master of Science (MS), Medical Physics, Master of Science (MS), Medical Physics at University of Wisconsin-Madison
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of Wisconsin-Milwaukee
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