Morgan Wixted
About Morgan Wixted
Morgan Wixted is an NLP Engineer at Loopback Analytics, specializing in extracting insights from unstructured data to support health systems across the nation. With a Master of Science in Language Science and Technology from Universität des Saarlandes, Wixted has developed various NLP models aimed at enhancing data privacy and optimizing surgical resources.
Work at Loopback Analytics
Morgan Wixted serves as an NLP Engineer at Loopback Analytics, where they focus on extracting insights from unstructured data. Their work aims to identify opportunities for health systems across the nation. Since joining in 2022, Morgan has contributed to enhancing data usability and privacy within healthcare settings.
Education and Expertise
Morgan Wixted holds a Master of Science in Language Science and Technology from Universität des Saarlandes, where they studied from 2018 to 2022. They also earned a Bachelor's Degree in Linguistics and Spanish from the University of Florida, completing their studies from 2014 to 2018. This educational background provides a strong foundation in language processing and technology.
Background
Before joining Loopback Analytics, Morgan Wixted worked as a Research Assistant at paragon semvox GmbH from 2020 to 2022. They also held positions as a Research Assistant and Teaching Assistant at the University of Florida in 2018 and 2016, respectively. Additionally, Morgan worked at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) in Germany from 2019 to 2020.
Achievements in NLP Development
Morgan Wixted has developed NLP pipelines for medical note deidentification and formatting, which enhance data privacy and usability in healthcare. They created a model for surgical device detection to improve inventory management and surgical planning. Furthermore, Morgan built an NLP model to predict the utilization of robots in surgical procedures, aiding in resource optimization.