Daniel Thal is a collaborative statistician and researcher with over a decade of experience in Bayesian methods, data science, and causal inference. Daniel has worked in various roles, including Senior Research Scientist at Aledade, Inc. and Statistical Consultant at Blue Cross Blue Shield of Massachusetts, where they focus on improving predictive accuracy and developing machine learning algorithms. Daniel also served as a Senior Data Scientist at Mathematica, applying advanced techniques to complex social policy research. Daniel holds a BA in Economics and Math from The University of Texas at Austin.
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