Chen Shen

Chen Shen has a diverse work experience in the field of machine learning, natural language processing (NLP), and knowledge graph (KG) research. They started their career as a Graduate Intern at Siemens, where they focused on developing classification models for identifying and classifying machine malfunctions. They also implemented and evaluated knowledge graph approaches during this time.

After completing their internship at Siemens, Chen Shen worked as a Graduate Intern at ADP, where they primarily focused on data analysis and module development for talent-related pipelines. They also gained experience in end-to-end language model training using ADP's large-scale recruitment data.

Following their internship at ADP, Chen Shen joined Temple University as a Research/Teaching Assistant, where they worked for seven years. During their time at the university, they likely assisted in research and teaching activities.

In 2020, Chen Shen returned to ADP as a Lead Data Scientist. In this role, they led the design and development of machine learning and data analytics models in NLP, KG, and recommendation systems. They solved business problems and applied scientific techniques to improve ADP's financial and recruitment products using real industry data.

Currently, Chen Shen is working at Megagon Labs as a Senior Research Engineer. Their responsibilities include conducting research on knowledge graphs, machine learning, and NLP topics. They also deliver machine learning solutions for HR business problems.

Overall, Chen Shen has a strong background in machine learning, NLP, and KG research, with experience in academia, internships, and industry settings.

Chen Shen began their education journey in 2006 when they earned their Bachelor's degree in Engineering from Huazhong University of Science and Technology. Chen then pursued further studies at the same university and completed their Master's degree in Communications and Information Engineering in 2010. In 2013, Chen enrolled at Temple University, where they earned another Master's degree, this time in Computer and Information Sciences, General, which they completed in 2016. Continuing their academic pursuits, Chen completed their Doctor of Philosophy (Ph.D.) in Artificial Intelligence at Temple University in 2020.