Hello! I’m Qiang Pu, a Postdoctoral Fellow in the Gangarosa Department of Environmental Health, at the Emory University. Currently, I’m working with the Emory Environmental Remote Sensing Group. My research interests lie at the intersection of GIScience and environmental health, where I model the spatiotemporal distributions and uncertainties of ambient environmental exposures (e.g. air pollution and heat). I use advanced geospatial technologies, such as geostatistics/machine learning models, satellite remote sensing, GPS, and GIS, to provide insights into potential health impacts and support evidence-based policy and decision-making.
I received my Ph.D. in Geography from University at Buffalo, SUNY, an M.S. in Cartography and GIS and a B.S. in Geomatics Engineering from the School of Geosciences and Info-physics at Central South University.
Here is my CV.
Ph.D. in Geography, Feb-2023
University at Buffalo, SUNY
M.S. in Cartography and GIS, May-2017
Central South University, China
B.S. in Geomatics Engineering, May-2014
Central South University, China
Supervisor: Dr. Jessie Poon
Responsibilities include:
Supervisor: Dr. Enki Yoo
Funded through Community for Global Health Equity Seed Funding - “Pediatric Surgery Infrastructure Development in Eastern Democratic Republic of Congo”.
Responsibilities include:
Journal Articles
2022
Yoo, E. H., Roberts, J., Pu, Q. & Palermo, T. Geospatial modeling of national health survey delivery data: A case study of Tanzania. International Conference on Geostatistics for Environmental Applications, Parma, Italy, June 22-24, 2022.
Eum, Y., Pu, Q. & Yoo, E. H. Spatio-temporal exposure assessment of urban cyclists: Using bike-sharing data and highly-resolved PM2.5 estimates. UCGIS Symposium 2022 GIScience Forward: Meeting the Challenge, Syracuse, U.S., June 7-9, 2022.
Pu, Q. & Yoo, E. H., A hybrid Approach to estimate spatially and temporally resolved PM2.5 distributions from multi-satellite AOD data. AAG Annual Conference, John Odland student paper competition through the Spatial Analysis and Modeling specialty group. New York City, U.S., Feb 25 - Mar 1, 2022.
(Finalist, top 10 out of 25)
2020
2019
Pu, Q. & Yoo, E. H., Spatio-temporal modeling of PM2.5 concentrations with missing data problem. AAG Annual Conference, Symposium on Frontiers in Geospatial Data Science, Washington DC, U.S., Apr 3-7, 2019.
Niu, Z., Mu, L., Wen, X., & Pu, Q. Leukocyte telomere length and cardiovascular disease mortality among US adults: effect modification by race. Annals of Epidemiology.
2018
As Laboratory Instructor
Data analytics and modeling
(Geo)Statistical modeling
Modeling for tabular data
Data analytics and modeling
ArcGIS Suite, ENVI, Google Earth Engine, LaTex, SAS