Summary
Matthew Osborne is a Senior Business Insights Analyst and former postdoctoral researcher with eight years of experience applying network science, data science, and statistical modeling to real-world problems, most recently optimizing fuel efficiency and predictive maintenance using aircraft sensor data at NetJets. He earned a PhD in Mathematics from Ohio State and has a track record of translating academic rigor into practical analytics—building crew and safety models, running sensor-data initiatives, and developing descriptive and predictive pipelines. As Head of PhD Career Programming at the Erdős Institute he created and taught comprehensive data science boot camps and virtual curricula that helped hundreds of graduate students transition to industry. Comfortable with Python, R, and JavaScript, he blends deep quantitative skills with effective teaching and curriculum design, and his research on digital public health (notably COVID-19 discourse) highlights a rare combination of domain expertise and communication-driven impact.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Applied Mathematics, 4.0/4.0, Bachelor’s Degree, Applied Mathematics, 4.0/4.0 at University of Toledo
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at The Ohio State University