Dezhao Song
About Dezhao Song
Dezhao Song is a Senior Research Scientist at Thomson Reuters, specializing in semantic web technologies and natural language processing. He has extensive academic and professional experience, including a Ph.D. from Lehigh University and contributions to knowledge graph systems.
Work at Thomson Reuters
Dezhao Song has been employed at Thomson Reuters since 2017, currently holding the position of Senior Research Scientist. His work is based in Eagan, Minnesota, where he has focused on integrating semantic web technologies with machine learning to enhance information retrieval. Prior to his current role, he worked as a Research Scientist at the same company from 2013 to 2017. During his tenure, he contributed to the development of knowledge graph systems, leveraging his expertise in natural language processing techniques.
Education and Expertise
Dezhao Song's educational background includes a Bachelor of Engineering from Beijing Institute of Technology, completed from 2002 to 2006. He furthered his studies at the same institution, obtaining a Master of Engineering from 2006 to 2008. He earned his Ph.D. from Lehigh University, where he studied from 2008 to 2013. His academic journey also includes a high school education at Beijing No. 2 Middle School from 1996 to 2002. His expertise lies in natural language processing and the integration of semantic web technologies with machine learning.
Background
Dezhao Song began his academic career at Lehigh University, where he served as a Teaching Assistant from 2008 to 2009 and as a Research Assistant from 2009 to 2013. His early professional experience includes a role as a Research Intern at Mayo Clinic in 2011. His diverse background in research and teaching has contributed to his current role at Thomson Reuters, where he applies his skills in data integration and information retrieval.
Achievements
Throughout his career, Dezhao Song has made significant contributions to the field of information retrieval. His work at Thomson Reuters includes the development of knowledge graph systems, which are essential for managing and utilizing large datasets. His focus on natural language processing techniques has enhanced data integration processes, showcasing his commitment to advancing technology in this area.