Christopher Galbraith is a Senior Research Data Scientist with 11 years of experience translating complex data into actionable insights across cybersecurity and cloud platforms. He holds a PhD in Statistics from UC Irvine and has blended academic rigor with industry impact at Obsidian, Mandiant/Google Cloud, and now Google, focusing on machine learning research for security applications. Christopher combines deep probabilistic modeling and experimental design with production-aware thinking, moving models from prototype to operational use in high-stakes environments. He has taught and organized data science initiatives, demonstrating a knack for clear communication and mentoring technical audiences. Based in Philadelphia, he brings a rare mix of theoretical statistical training and hands-on ML engineering that helps teams turn noisy telemetry into defensible decisions. An organizer-turned-practitioner, he often bridges gaps between research, product, and security engineering to deliver measurable risk reduction.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at South Dakota State University
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Christopher Galbraith - Senior Research Data Scientist