Lea Cleary is a Machine Learning Engineer at Wonderlic since September 2022, previously serving as a Teaching Assistant at UC Berkeley School of Information from January 2021 to May 2022, where Lea taught Machine Learning at Scale and received the MIDS Outstanding Teaching Assistant Award. Prior experience includes working as a Chemist at Chevron Oronite Company LLC from April 2012 to December 2020, where Lea contributed to competitive products analysis and enhanced analytical methodologies. Early roles involved research positions at NanOasis Technologies, Inc. and AURORA ALGAE, focusing on carbon nanotubes and lipid conversion processes, respectively. Lea holds a Master’s degree in Information and Data Science from UC Berkeley, a Master of Science in Chemistry from the University of California, Berkeley, and a Bachelor's degree in Chemistry and Mathematics from the University of Notre Dame.
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