Chen Shen
About Chen Shen
Chen Shen is a Senior Research Engineer with extensive experience in natural language processing and knowledge graph research. He has worked at various organizations, including Megagon Labs and ADP, and holds multiple degrees in computer and information sciences, communications engineering, and artificial intelligence.
Work at Megagon Labs
Chen Shen currently serves as a Senior Research Engineer at Megagon Labs, a position he has held since 2022. In this role, he focuses on developing data-driven models and algorithms tailored for the HR domain. His work emphasizes the application of machine learning solutions to tackle complex business challenges. Prior to his current role, he worked as a Research Software Engineer at Megagon Labs for nine months in 2022.
Education and Expertise
Chen Shen holds a Doctor of Philosophy (Ph.D.) in Artificial Intelligence from Temple University, where he studied from 2013 to 2020. He also earned a Master's degree in Computer and Information Sciences from Temple University from 2013 to 2016. Prior to that, he completed a Master's degree in Communications and Information Engineering and a Bachelor's degree in Engineering at Huazhong University of Science and Technology. His academic background supports his extensive experience in natural language processing and knowledge graph research.
Professional Experience
Chen Shen has a diverse professional background. He worked as a Graduate Intern at ADP in 2019 and later served as a Lead Data Scientist at ADP from 2020 to 2022. He also completed a Graduate Internship in AI/Deep Learning for Predictive Analytics at Siemens in 2017. Additionally, he worked as a Research/Teaching Assistant at Temple University from 2013 to 2020, gaining valuable experience in research and education.
Research and Development Skills
Chen Shen possesses expertise in delivering machine learning solutions that address complex business challenges. His work includes the development of data-driven models and algorithms specifically designed for the HR domain. His focus on natural language processing and knowledge graph research further enhances his capabilities in the field of artificial intelligence.