Nathan Yuyang Liu
About Nathan Yuyang Liu
Nathan Yuyang Liu is an Applied Research Scientist specializing in Machine Learning, currently employed at Thomson Reuters since 2021. He has a diverse background in data science and research, having worked at institutions such as Statistics Canada, the University of Toronto, and IBM Canada, and has conducted research in autonomous driving and natural language processing.
Work at Thomson Reuters
Nathan Yuyang Liu currently holds the position of Applied Research Scientist specializing in Machine Learning at Thomson Reuters. He has been with the company since 2021, contributing to various projects that leverage machine learning techniques to enhance data analysis and decision-making processes. His role involves applying advanced algorithms and methodologies to solve complex problems within the organization.
Education and Expertise
Nathan Liu earned a Master of Science (MS) degree in Computer Science from the University of Toronto, where he studied from 2018 to 2020. Prior to that, he completed a Bachelor of Science (B.Sc.) in Computer Science at Carleton University from 2009 to 2015. His academic background provides a strong foundation in computational theories and practices, particularly in machine learning and data science.
Background
Nathan Liu has a diverse professional background in data science and software development. He worked as a Data Scientist at Statistics Canada for ten months in 2020, where he focused on data analysis and statistical modeling. His experience also includes roles at IBM Canada as a Software Developer and at BMO Financial Group as a Senior Application Software Developer, both in the Toronto area.
Research Experience
Nathan Liu has engaged in significant research initiatives throughout his career. He was a Visiting Researcher at St. Michael's Hospital in 2019, collaborating on projects related to health informatics. Additionally, he conducted research at Huawei Noah’s Ark Lab Canada, focusing on deep reinforcement learning for autonomous driving applications. His research work emphasizes innovative algorithm design to tackle complex challenges.
Collaborations and Projects
Nathan Liu has collaborated with a research team at a local hospital on natural language processing (NLP) deep learning projects. These projects aim to assist patients in general internal medicine, showcasing his commitment to applying machine learning techniques in practical healthcare settings. His work in this area highlights the intersection of technology and patient care.