Grace Lee
About Grace Lee
Grace Lee is an AI Research Scientist at Thomson Reuters in London, England, specializing in data-centric approaches for machine learning. She holds a Ph.D. from Nanyang Technological University and has extensive experience in information retrieval and natural language processing.
Work at Thomson Reuters
Grace Lee has been employed as an AI Research Scientist at Thomson Reuters since 2022. In this role, she focuses on developing data-centric approaches to enhance the machine learning lifecycle, specifically in the areas of Information Retrieval and Natural Language Processing. Her work contributes to the advancement of AI technologies within the organization, leveraging her extensive background in research and engineering.
Education and Expertise
Grace Lee holds a Bachelor of Science (B.S.) in Industrial Engineering from the Korea Advanced Institute of Science and Technology, where she studied from 2009 to 2014. She furthered her education at the same institution, obtaining a Master of Science (M.S.) in the Graduate School of Knowledge Service Engineering, focusing on Industrial Systems Engineering from 2014 to 2016. Grace completed her Doctor of Philosophy (Ph.D.) in Computer Science and Engineering at Nanyang Technological University from 2016 to 2020, specializing in data-centric approaches for machine learning.
Professional Background
Grace Lee has a diverse professional background that includes various roles in research and engineering. She began her career as a Software Engineer Intern at Samsung Electronics in 2012. Afterward, she worked as a Research Assistant at the Korea Advanced Institute of Science and Technology from 2014 to 2016. Grace served as a Research Associate at Nanyang Technological University from 2016 to 2020 and then held the position of Applied Scientist II at Amazon from 2020 to 2021. Additionally, she worked at SingHealth as a Research Associate from 2019 to 2020.
Research Contributions
During her Ph.D. candidacy at Nanyang Technological University, Grace Lee focused on medical literature retrieval and information extraction. Her research aimed to improve the effectiveness and robustness of machine learning applications in the healthcare sector. This work reflects her commitment to advancing knowledge in Information Retrieval and Natural Language Processing, contributing to the broader field of AI.
Internship Experience
Grace Lee has gained valuable internship experience throughout her academic career. She interned as a Sales Application Engineer at InfraTec GmbH in Germany for seven months in 2013-2014. Additionally, she completed a two-month internship as a Software Engineer Intern at Samsung Electronics in 2012. These internships provided her with practical skills and insights into the application of engineering principles in real-world settings.