Summary
Qingqing Chen is an Assistant Professor of Applied GIS with a PhD in Geography and a decade of experience applying data science and machine learning to urban geography. She combines strengths in geocomputation, spatial statistics, and large-scale data wrangling to reveal how sensory experiences and social media trace urban life. Her work spans academic teaching, developing research software (including an R package for inferring meaningful locations), and building cloud-backed pipelines and interactive visualizations for policy-relevant projects. Qingqing has led interdisciplinary studies from neighborhood social networks to housing solutions, bringing physics-trained rigor to complex urban datasets. Based in Harrisonburg, VA, she is skilled at turning noisy, non-visual sensor and social data into interpretable spatial insights that inform planning and community research.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Minjiang University
Doctor of Philosophy - PhD, Geography, 4.0, Doctor of Philosophy - PhD, Geography, 4.0 at University at Buffalo
Master’s Degree, Physics, Master’s Degree, Physics at National University of Singapore
Chinese, English