Andres Munoz is a Senior Staff Research Scientist at Google, where they conduct theoretical research in statistical learning theory, focusing on online learning and non-identically distributed sampling. Previously, they served as a Senior Research Scientist at Google from 2015 to 2020, involved in both theoretical and applied machine learning. In 2011, they were a leading professor for the summer session of Calculus I at the Courant Institute of Mathematical Sciences. Munoz holds a Ph.D. in Mathematics from the Courant Institute at NYU, where they graduated with a 3.89 GPA, and a BSc in Mathematics from the National Autonomous University of Mexico, graduating with honors.
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