Daniel Licht possesses extensive experience in both education and data science, serving as an AP Physics and PLTW Engineering Teacher at Fremont Unified School District from 2012 to 2017, where a new AP Physics C course was created. Transitioning to Meta in 2017, Daniel advanced through various roles, including Data Scientist and Staff Data Scientist at FAIR, focusing on machine learning, AI concerns, and evaluation methodologies for translation models. Prior experiences include positions at UC Berkeley as an instructor, a field engineer at Caltrol Inc., and research assistant roles at the University of Colorado Boulder. Daniel holds a B.S. in Physics and Astronomy from the University of Rochester and a Master's in Astrophysics from the University of Colorado Boulder, complemented by a California Teaching Credential.
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