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Michael Schmidt
Principal Machine Learning Engineer at Redpoll
Michael Schmidt is a skilled data scientist focusing on Bayesian methodologies, excelling in mechanistic and statistical modeling across various industries like agriculture, law, healthcare, and finance.
With a Doctor of Philosophy (PhD) in Applied Mathematics, an MS in Physics, and a BA in Physics and Mathematics, all from the University of Colorado system, Michael boasts a strong academic background.
His professional journey includes key roles such as Principal ML Engineer at Redpoll, Lead Instructor at LaunchCode, and positions at CiBO Technologies, Care Otter, Juristat, Exegy, and in the academic sector at The Fulton School at St Albans and the University of Colorado system.
Michael's experience spans from software engineering and data science to teaching mathematics and working in DevOps and system administration.
He leverages evidence-driven design processes to create robust and effective mathematical models, demonstrating adaptability and expertise in a diverse range of domains.
