Chengbi Liu, Ph.D.

Chengbi Liu, Ph.D. has a diverse work experience across multiple organizations and roles. From 2022, Chengbi worked as a Data Engineer at Fraym. Prior to this, Chengbi served as a Senior Data Scientist at Kantar Public from 2020 to 2022. In this role, Chengbi led the development of an end-to-end machine-learning-based geospatial model pipeline on Azure Databricks to map indicators of development. Before joining Kantar Public, Chengbi worked as a Graduate Research and Teaching Assistant at George Mason University from 2016 to 2020. During this time, Chengbi implemented an AR-based social media study and published two papers in a highly-ranked peer-reviewed journal. Chengbi also taught various courses in the GGS Department at George Mason University. Prior to George Mason University, Chengbi worked as a Graduate Research and Teaching Assistant at The Ohio State University from 2014 to 2016, where Chengbi implemented a social media sentiment analysis project and published a paper in a highly-ranked peer-reviewed journal. In addition to these experiences, Chengbi also served as an FYRES Student Mentor at Calvin University from 2013 to 2014, mentoring first-year college students in research activities and presenting work at a regional academic conference. Overall, Chengbi Liu, Ph.D. has a strong background in data engineering, data science, research, teaching, and mentorship.

Chengbi Liu, Ph.D., completed a Doctor of Philosophy (PhD) degree in Earth Systems and Geoinformation Science from George Mason University, where they studied from 2016 to 2020. Prior to that, they pursued a Master of Arts (MA) degree in Geography at The Ohio State University, graduating in 2016. Chengbi began their higher education journey by obtaining a Bachelor of Arts (BA) degree in Geography and Sociology from Calvin University, which they attended from 2010 to 2014.