Peking University, Ph.D. in Statistics, 2014.9-2019.7
Beijing Normal University, B.S. in Mathematics and Applied Mathematics, 2010.9-2014.7
Postdoctoral Fellow, Department of Statistics, Harvard University, 2019.9-present
Research Assistant, Guanghua School of Management & Center for Statistical Science, Peking University, 2014.9-2019.7
Visiting Scholar, Department of Statistics, Iowa State University, 2018.11-2019.3
Teaching Assistant, Center for New Structural Economics, Peking University, 2017.9-2018.1
Visiting Scholar, Department of Statistics, Iowa State University, 2016.9-2017.9
Teaching Assistant, Guanghua School of Management, Peking University, 2016.2-2016.6
Visiting Scholar, Department of Statistics, Iowa State University, 2015.8-2016.1
Teaching Assistant, Guanghua School of Management, Peking University, 2014.9-2015.1
American Statistical Association (ASA), 2014-present
The International Environmetrics Society (TIES), 2015-present
International Chinese Statistical Association (ICSA), 2016-present
Chen, L., Guo, B., Huang, J., He, J., Wang, H., Zhang, S. and Chen, S.X. (2018). Assessing Air-Quality in Beijing-Tianjin-Hebei Region: The Method and Mixed Tales of PM2.5 and O3. Atmospheric Environment, Volume 193, Pages 290-301.
Zhang, S., Guo, B., Dong, A., He, J., Xu, Z. and Chen, S.X. (2017) Cautionary Tales on Air-Quality Improvement in Beijing. Proceedings of the Royal Society A, Volume 473, No. 2205, Pages 20170457.
Liang, X., Li, S., Zhang, S., Huang, H. and Chen, S.X. (2016). PM2.5 Data Reliability, Consistency and Air Quality Assessment in Five Chinese Cities. Journal of Geophysical Research: Atmospheres, Volume 121, No. 17, Pages 10,220-10,236.
Liang, X., Zou, T., Guo, B., Li, S., Zhang, H., Zhang, S., Huang, H., Chen, S.X. (2015). Assessing Beijing's PM2.5 pollution: severity, impacts of weather, APEC and winter heating. Proceedings of the Royal Society A, Volume 471, No. 2182, Pages 20150257.
Chen, L., Guo, B., Huang, J., Zhang, S., Wang, H., He, J. and Chen, S.X. (2017). Air Quality Assessment Report IV: Regional Air Quality Assessment of the Beijing-Tianjin-Hebei Region.
Zhang, S., Guo, B., Wang, H., He, J., Dong, A., Xu, Z., Lin, W. and Chen, S.X. (2017). Air Quality Assessment Report III: Regional Air Quality Assessment of Beijing.
Liang, X., Li, S., Zhang, S., Huang, H. and Chen, S.X. (2016). Air Quality Assessment Report II: Statistical Analysis on Five Chinese Cities.
Liang, X., Zou, T., Guo, B., Li, S., Zhang, H., Zhang, S., Huang, H. and Chen, S.X. (2015). Air Quality Assessment Report I: Statistical Analysis of Beijing.
Invited Conference Talks
26th Annual Conference of the International Environmetrics Society, Edinburgh, Scotland, July 2016.
2nd International Conference on Econometrics and Statistics, Hong Kong, China, June 2018.
2019 IMS-China International Conference on Statistics and Probability, Dalian, China, July 2019.
Contributed Conference Talks
2017 Joint Statistical Meetings, Baltimore, the United States, August 2017.
2018 Joint Statistical Meetings, Vancouver, Canada, August 2018.
2018 AGU (American Geophysical Union) Joint International Network in Geoscience Meetings, Xi'an, China, October 2018.
4th PKU-Tsinghua Colloquium, Beijing, China, June 2019.
Invited Colloquium Talks
School of Mathematical Sciences, Capital Normal University, Beijing, China, May 2018.
High-Dimensional Statistical Inference for Dependent Data
Environmental Risk Assessment
Nonparametric and Semiparametric Statistics
Shuyi Zhang has partipated in publishing four papers and four technical reports as a team member of Prof. Chen's environmental statistics group, and also is a researcher working on the topic of high-dimensional statistical inference for dependent data. She is served as the group leader of implementing regional air quality assessment in the city of Beijing, and is the first author of the paper published on the Proceedings of the Royal Society A in 2017 and Air Quality Assessment Report III. She has completed the research on building-up the theoretical properties of the spatio-temporal adjustment approach. She is now working on the two-sample mean test for high-dimensional time series data and extending the adjustment method to three quasi-experiments.