John Qiu
About John Qiu
John Qiu is an Applied Research Scientist specializing in Information Retrieval and Natural Language Processing. He has held various positions in research and machine learning, including roles at Oak Ridge National Laboratory, Capital One, and Thomson Reuters.
Work at Thomson Reuters
John Qiu currently serves as an Applied Research Scientist in Information Retrieval and Natural Language Processing at Thomson Reuters. He has been in this role since 2024, contributing to advancements in AI and machine learning applications within the organization. His expertise in NLP allows him to work on innovative projects that enhance the company's data processing capabilities.
Previous Experience at Capital One
John Qiu held multiple positions at Capital One, where he worked as a Principal Associate Machine Learning Scientist in NLP from 2020 to 2022 and as a Senior Associate Machine Learning Scientist in NLP from 2019 to 2020. In these roles, he focused on developing machine learning models and algorithms to improve customer experiences and operational efficiencies.
Research Background at Oak Ridge National Laboratory
Prior to his roles in the private sector, John Qiu worked as a Research Assistant at Oak Ridge National Laboratory from 2016 to 2019. During this three-year period, he engaged in various research projects that contributed to advancements in scientific knowledge and technology applications. His experience at Oak Ridge provided him with a strong foundation in applied research.
Educational Qualifications
John Qiu earned his Doctor of Philosophy (PhD) in Data Science and Engineering from the University of Tennessee, Knoxville, where he studied from 2017 to 2019. He also holds a Master of Science (MS) in Business Analytics, completed in 2016, and a Bachelor of Business Administration (BBA) in Econometrics and Quantitative Economics, which he obtained in 2014. His educational background supports his expertise in machine learning and data analysis.
Experience at NextRoll
John Qiu worked as a Senior Machine Learning Engineer at NextRoll from 2022 to 2023. In this role, he applied his machine learning skills to develop solutions that drive business outcomes. His time at NextRoll further enhanced his experience in the field of machine learning and NLP.