Michael Clark

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Michael has modeling and consulting experience across varied domains, including social and physical sciences, business, and humanities. He has particular expertise in mixed models, additive models, latent variable models, text analysis, structural equations modeling, machine learning techniques, Bayesian inference, reproducible research practices, data visualization, and efficient programming practices.

For more about Michael, visit https://m-clark.github.io/.