Eric Wright is a Principal Data Scientist based in Seattle with nine years in industry-focused machine learning and a longer research pedigree rooted in physics and computational mathematics. At Microsoft he leads work on Azure OpenAI, generative AI, automated machine learning, and demand forecasting, translating advanced models into scalable cloud services. He holds a Ph.D. in Computational and Applied Mathematics and previously applied computational methods to particle and cosmic-ray experiments, bringing rigorous scientific modeling to production problems. Eric combines deep probabilistic and numerical expertise with practical systems experience—device drivers to real-time data pipelines—so he thinks like a researcher and ships like an engineer. Colleagues describe him as humble but impactful, often surfacing elegant mathematical solutions to messy real-world forecasting and automation challenges.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics, Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics at The University of Texas at Austin
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