Summary
Cong Mu is a data scientist with eight years of experience combining rigorous academic training (PhD and two master's degrees from Johns Hopkins) with industry impact at Microsoft, where he moved from multiple applied science internships to a full-time data scientist role. His background in statistics, applied mathematics, and computer science underpins work on high-dimensional and graph-related problems, reflecting deep quantitative and algorithmic expertise. He spent six years as a research assistant at Johns Hopkins, translating theoretical methods into reproducible experiments and publications. Prior finance and analytics internships broadened his view of real-world decision systems and risk modeling. Based in Redmond, he brings a research-first mindset to production problems, favoring principled solutions that scale. Outside of work he curates a technical homepage, signaling an ongoing commitment to sharing research and tools beyond closed projects.
8 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Sun Yat-Sen University
Chinese, English