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Philip Popien has a diverse work experience in the field of machine learning. Philip is currently working at Cloud to Street as a Staff Machine Learning Engineer and Director of ML, starting in July 2022. Prior to this, they worked at Vexcel Imaging GmbH as a Senior Machine Learning Engineer and Team Lead from January 2021 to June 2022, where they led a team in building deep learning models for detecting flood water on satellite imagery. Before that, they worked as a Deep Learning Engineer R&D at Vexcel Imaging GmbH from September 2018 to December 2020, where they developed a deep learning library from scratch and trained models for semantic segmentation. Philip also worked as a Machine Learning Engineer at AUDI AG from July 2017 to August 2018, where they conceptualized and developed machine learning proof of concepts for internal customers. Additionally, they have experience as a Co-Founder at Datenschmiede and worked on their master's thesis at ÃœberEnergy, where they created a proof of concept for an automatic smart heating control solution utilizing machine learning. Philip also worked as a Machine Learning Working Student at foodspring.

Philip Popien earned a Bachelor of Science (B.Sc.) degree in Economics from Freie Universität Berlin between 2009 and 2013. Subsequently, they pursued further education at Humboldt-Universität zu Berlin, where they obtained a Master of Science (M.Sc.) degree in Statistics from 2013 to 2016. Philip also holds a certification for Master of Science from Humboldt-Universität zu Berlin, although the specific month and year of obtaining it are not provided.