Philip Huebner

Philip Huebner has a diverse work experience in the field of natural language processing and research. Philip is currently working as a Natural Language Processing Engineer at Pattern® since June 2022. Prior to this, they were a PHD Candidate at the University of Illinois Urbana-Champaign from August 2018 to May 2022, where they conducted research on language acquisition using neural networks, data science, and natural language processing. Before that, they worked as a Graduate Student Researcher at the University of California, Riverside from August 2014 to June 2018. Additionally, they gained research experience as a Research Intern at the UC Davis Center for Neuroscience from August 2012 to August 2013.

Philip Huebner obtained a Bachelor of Science (BS) degree in Neuroscience from the University of California, Davis, where they studied from 2010 to 2014. Philip then pursued further education and earned a Doctor of Philosophy (PhD) degree in Cognitive Psychology and Psycholinguistics from the University of Illinois Urbana-Champaign, completing their studies from 2018 to 2022. In addition to their formal education, Philip also obtained certifications in Machine Learning from Coursera Course Certificates in April 2016 and in Prepare for the AWS Certified Solutions Architect - Associate Exam (SAA-C02) from LinkedIn in March 2023.