Mengmeng Liu

Data Engineer @ FINRA

About Mengmeng Liu

Mengmeng Liu is a Data Engineer with over 10 years of experience in processing and analyzing geospatial data and over 5 years in sustainability assessment research. Currently employed at FINRA, Liu has an extensive academic background with degrees from multiple institutions, including a PhD from Georgia Institute of Technology.

Work at FINRA

Mengmeng Liu has been employed at FINRA as a Data Engineer since 2019. In this role, Liu applies data engineering skills to support various initiatives within the organization. The position involves processing and analyzing large datasets to enhance operational efficiency and contribute to FINRA's mission of ensuring market integrity.

Education and Expertise

Mengmeng Liu holds a Doctor of Philosophy (PhD) in Computational Science and Engineering from Georgia Institute of Technology, which was completed from 2013 to 2019. Liu also earned a Master of Science (MS) in Geographic Information Science and Cartography from the Graduate School of Chinese Academy of Social Sciences from 2010 to 2013. Liu's educational background is complemented by a Bachelor of Science (BS) in Geographic Information Science and Cartography from Henan University, completed from 2006 to 2010. Liu possesses extensive expertise in machine learning methods, including Deep Neural Networks, Convolutional Neural Networks, and various other analytical techniques.

Background

Mengmeng Liu has over 10 years of experience in processing and analyzing geospatial data from various sources and platforms. Prior to joining FINRA, Liu worked at Georgia Institute of Technology in multiple capacities, including Graduate Research Assistant and Graduate Teaching Assistant, from 2013 to 2019. Liu also worked as a Data Scientist at Equifax for six months in 2019. This diverse background in academia and industry has equipped Liu with a solid foundation in data analysis and sustainability assessment.

Research and Development Initiatives

Mengmeng Liu developed a data-driven spatial sustainability assessment framework aimed at systematically evaluating project sustainability. This framework is designed to effectively visualize results, contributing to the understanding of sustainability in various projects. Liu's research work during the tenure at Georgia Institute of Technology has significantly advanced the field of sustainability assessment.

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