2008.9 - 2012.7 B.S. in Biological Sciences, Peking University, China

2012.8 - 2014.5 M.S. in Public Health, Emory University, U.S.

2014.8 - 2018.5 Ph.D. in Public Health, Emory University, U.S.

2026.3 – Present Assistant Professor School of Environment, Tsinghua University, China

2022.11 – 2026.2 Research Assistant School of Environment, Tsinghua University, China

2021.2 - 2022.10 Research Associate Beijing Qingchuang Meike Environmental Technology Co., Ltd., China

2019.1 - 2021.1 Postdoctoral Researcher School of Environment, Tsinghua University, China

Youth Council Member of Youth Council of the Chinese Society of Particuology

Member of the Committee on Pollution Source Emissions and Control

Her research focuses on applying artificial intelligence to characterize spatiotemporal variability in air pollution concentrations and emissions.

Selected Publications (* corresponding author)

2025

1. Zhang, Q.^*, Wang Y., Xiao Q., Geng G., Davis S., Liu X., Yang J., Liu J., Huang W., He C., Luo B., Martin R., Brauer M., Randerson J., and He K. Long-range PM_2.5 pollution and health impacts from the 2023 Canadian wildfires, Nature, 2025, 645, 672–678.

2022

1. Xiao, Q., Geng, G.^*, Liu, S., Liu, J., Meng, X., & Zhang, Q. Spatiotemporal continuous estimates of daily 1 km PM_2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework. Atmos. Chem. Phys., 22 (19), 13229-13242

2021

1. Xiao, Q., Geng, G.^*, Xue, T.*, Liu, S., Cai, C., He, K., & Zhang, Q. Tracking PM_2.5 and O₃ Pollution and the Related Health Burden in China 2013–2020. Environ. Sci. Technol., 56 (11),6922-6932

2. Xiao, Q., Zheng, Y., Geng, G.^*, Chen, C., Huang, X., Che, H., Zhang, X., He, K., & Zhang, Q. Separating emission and meteorological contribution to PM_2.5 trends over East China during 2000–2018. Atmos. Chem. Phys., 21, 9475-9496.

3. Xiao, Q., Geng, G.^*, Cheng, J., Liang, F., Li, R., Meng, X., Xue, T., Huang, X., Kan, H., Zhang, Q., & He, K. Evaluation of gap-filling approaches in satellite-based daily PM_2.5 prediction models. Atmos. Environ., 2021, 244, 117921.

2020

1. Xiao, Q., Geng, G.^*, Liang, F., Wang, X., Lv, Z., Lei, Y., Huang, X., Zhang, Q., Liu, Y., & He, K. Changes in spatial patterns of PM_2.5 pollution in China 2000–2018: Impact of clean air policies. Environ. Int., 141, 105776.

2018

1. Xiao Q., Chang H. H., Geng G., Liu Y.^*, “An ensemble machine-learning model to predict historical PM_2.5 concentrations in China from satellite data.”, Environ. Sci. Technol., 52 (22), 13260–13269.

2. Xiao Q., Chen H., Strickland J. M., Kan H., Chang H. H., Klein M., Yang C., Meng X., Liu Y.^*, “Associations between birth outcomes and maternal PM2.5 exposure in Shanghai: a comparison of three exposure assessment approaches.”, Environ. Int., 117:226-236.

2017

1. Xiao Q., Wang Y., Chang H., Meng X., Geng G., Lyapustin A., Liu Y.^*, “Full-coverage high-resolution daily PM_2.5 estimation using MAIAC AOD in the Yangtze River Delta of China.”, Remote Sens. Environ., 199: 437-446.

2016

1. Xiao Q., Zhang H., Choi M., Li S., Kondragunta S., Kim J., Holben B., Levy RC., Liu Y.^*, “Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia.” Atmos. Chem. Phys., 16.3 (2016): 1255-1269.