Mengfei Yuan

Mengfei Yuan

Algorithm Engineer @ PING

About Mengfei Yuan

Mengfei Yuan is an Algorithm Engineer at PING AN in Shenzhen, Guangdong, China, where he has worked since 2020. He has a diverse background in engineering and research, including roles at Sinopec, Corning, and The Ohio State University.

Work at PING AN

Mengfei Yuan has been employed at PING AN since 2020 as an Algorithm Engineer. In this role, he has contributed to the development of intelligent chat robots, focusing on optimizing their functionality for insurance selling and training programs. His work includes the creation of a deep learning-based semantic retrieval model and the development of a QA chat robot utilizing dialogue graphs. This position is based in Shenzhen, Guangdong, China.

Education and Expertise

Mengfei Yuan holds a Doctor of Philosophy (PhD) in Materials Science from The Ohio State University, which he completed from 2015 to 2019. He also earned a Master's degree in Structural Engineering from the same institution, studying there from 2013 to 2014. His undergraduate studies were completed at Shanghai Normal University, where he obtained a Bachelor of Science (BS) in Civil Engineering from 2009 to 2013. His educational background provides a strong foundation for his expertise in algorithm development and machine learning.

Background

Before joining PING AN, Mengfei Yuan gained diverse experience in engineering and research roles. He worked as an Assistant Structural Engineer at Sinopec Argentina Exploration and Production, Inc. for six months in 2013. He served as a Research Assistant at The Ohio State University from 2015 to 2019, where he engaged in various research projects. Additionally, he held the position of Machine Learning Modeling Engineer at Corning Incorporated for one year from 2019 to 2020 and worked as a Researcher-in-Residence at Citrine Informatics for one month in 2017.

Professional Experience

Mengfei Yuan's professional journey includes significant roles in both engineering and research. At Corning Incorporated, he focused on machine learning modeling, while his role at Citrine Informatics involved research activities. His experience as a Research Assistant at The Ohio State University further solidified his skills in research methodologies and technical applications. This varied background has equipped him with a comprehensive understanding of algorithm engineering and intelligent systems.

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