Nathan Mirman

Machine Learning Scientist

University of Minnesota, Cornell, Macy's

Nathan brings 10 years of machine learning and data science experience to the team.

His academic research was based at the CERN Large Hadron Collider, where he developed new ways to mine petabyte-scale datasets for insights about the smallest building blocks of matter.

More recently, Nathan was a Lead Data Scientist at Macy’s, where he developed and deployed models, designed measurements, and provided analytics to support a variety of use cases in marketing, generating significant ROI and enabling an enhanced experience for millions of customers.

Nathan holds a B.S. in Physics and Mathematics from the University of Minnesota, and an M.S. and Ph.D. in Physics from Cornell University.

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