教育背景

2006.08-2010.12，美国马里兰大学巴尔的摩郡分校统计学专业，哲学博士学位

2000.09-2004.07，中国科学技术大学统计学专业，理学学士学位

 

工作经历

2023.09至今，太阳成集团tyc122cc，教授

2017.08-2023.09，中山大学数学公司，教授

2013.06-2017.07，北京大学数学科学公司/统计科学中心，研究员

2012.03-2013.05，美国迈阿密大学商公司，博士后

2010.10-2012.02，美国耶鲁大学公共卫生公司，博士后

 

研究方向

空间统计学、函数型数据分析、空间流行病、环境统计学

 

科研项目

1. 基于高斯随机场的复杂结构数据分析，国家自然科学基金委员会，重点项目，12231017，第一课题负责人，2023-2027

2. 机理与数据融合驱动的极端天气事件精准预报研究，国家自然科学基金委员会，重大项目，12292984，参与，2023-2027

3. 珠三角PM2.5和臭氧污染协同控制及示范，广东省科技厅，广东省重点领域研发计划项目，2019B110206001，参与，2019-2022

4. 海量时空数据的统计建模：方法与应用，国家自然科学基金委员会，面上项目，11871485，主持，2019-2022

5. 空气质量统计诊断模型，科技部，国家重点研发计划，2016YFC0207700，课题二负责人，2016-2021

6. 国家级重要人才计划（青年项目），中组部，主持，2015

7. 基于函数型数据分析的联合统计建模：理论与应用，国家自然科学基金委员会，青年项目，11401013，主持，2015-2017

 

科研发表

[1] Luo, F., Tan, J., Zhang, D., Huang, H.* & Shen, Y.* (2025).  “Functional Clustering For Longitudinal Associations Between Social Determinants Of Health And Stroke Mortality In The Us”. The Annals of Applied Statistics, 19(1), 798-820

[2] Tan, J., Zhang, G., Wang, X.*, Huang, H.*, & Yao, F.* (2024).  “Green’s matching: an efficient approach to parameter estimation in complex dynamic systems”. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(5), 1266-1285

[3] Tan, J., Liang, D., Guan, Y. & Huang, H. *(2024). “Graphical Principal Component Analysis of Multivariate Functional Time Series”. Journal of the American Statistical Association,  119(548), 3073–3085

[4] Chen, Y., Chang, X., Zhang, B. and Huang, H.*(2024) “Efficient and effective calibration of numerical model outputs using hierarchical dynamic models." The Annals of Applied Statistics, 18(2) 1064-1089.

[5] Chen, Y., Chang, X., Luo, F. and Huang, H.* (2023). “Additive dynamic models for correcting numerical model outputs”, Computational Statistics and Data Analysis ,187, 107799

[6] He, Y., Martinez, L., Ge, Y., Feng, Y., Chen, Y., Tan, J., … , Huang, H.*, Sun, J. *and Shen, Y.* (2023). “Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: A population-based study”. Epidemiology and Infection, 151, e141.

[7] Tan, J., Shen, Y., Ge, Y., Martinez, L. & Huang, H.* (2023) Age-related model for estimating the symptomatic and asymptomatic transmissibility of COVID-19 patients. Biometrics, 79, 2525–2536.

[8] Wang, F., Duan, C., Li, Y., Huang, H.*, & Shia, B. C. (2024). “Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan”. Biostatistics , 25(1), 40–56.

[9] Tan, J., Ge, Y., Martinez, L., Sun, J., Li, C., Westbrook, A., … Huang, H. *(2022). “Transmission roles of symptomatic and asymptomatic COVID-19 cases: a modelling study”. Epidemiology and Infection, 150, e171.

[10] Li, C., Shen, Y.*, Xiao, Q., Rathbun, S. L., Huang, H. and Guan, Y. (2021) “Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias”, Statistical Methods in Medical Research, 31(2):315-333

[11] 郭泽睿，黄辉，谭键滨，孙琬琬，丰燕，潘金仁，葛阳，沈晔，凌锋*（2021）“影响新型冠状病毒肺炎无症状感染者发现率的密切接触者调查因素分析”，中国预防医学杂志，第22卷第8期

[12] Liang, D., Huang, H., Guan, Y. and Yao, F.* (2022) “Test of Weak Separability for Spatially Stationary Functional Field”, Journal of the American Statistical Association, 118 (543), 1606–1619 

[13] Xu, G., Wang, M., Bian, J., Burch, T., Andrade, S., Huang, H., Zhang, J. and Guan, Y*. (2020) “Semiparametric Learning of Structured Temporal Point Processes”, Journal of Machine Learning Research, 21(192):1−39, 

[14] Wan, Y., Xu, M.Y., Huang, H. and Chen, S.X. *(2020) “A spatio-temporal model for the analysis and prediction of fine particulate matter concentration in Beijing”, Environmetrics, DOI: 10.1002/env.2648

[15] Liang, D., Zhang, H., Chang, X. and Huang, H.* (2020) “Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Model”, Journal of the American Statistical Association, 116:533, 116-132

[16] Liang, X., S. Li, S. Zhang, H. Huang*, and S. X. Chen* (2016), “PM2.5 datareliability, consistency, and airquality assessment in five Chinese cities”, Journal of Geophysical Research: Atomspheres, 121, 10,220–10,236

[17] Shen, Y*., Huang, H. and Guan, Y. (2016), “A Conditional Estimating Equation Approach for Recurrent Event Data with Additional Longitudinal Information”, Statistics in Medicine, 35, 4306-4319

[18] 《Handbook of Medical Statistics》（2016）Chinese and English version，Chapter 7, “Spatiotemporal Data Analysis”

[19] Liang, X., Zou, T., Guo, B., Li, S., Zhang, H., Zhang, S., Huang, H.*, Chen, S-C*. (2015), “Assessing Beijing’s PM2.5 Pollution: Severity, Weather Impact, APEC and Winter Heating", Proceedings Royal Society A, 471:2182.

[20] Huang, H., Li, Y., and Guan, Y. *(2014), “Joint modeling and clustering paired generalized longitudinal trajectories with application to cocaine abuse treatment data”, Journal of the American Statistical Association, 109, 1412-1424.

[21] Huang, H., Ma, X., Waagepetersen, R., Holford, T., Wang, R., Risch, H., and Guan, Y.* (2014), “A new estimation approach for combining spatial epidemiology data obtained from different sources”, Journal of the American Statistical Association, 109, 11-23.

[22] Huang, H.*, Roy, A., Adali, T., and Correa,N. (2012), “Bootstrap Testing of 2D Electrophoresis Gels Across Groups”, Stat, 1, 115-124.

[23] Huang, Y., Labiner-Wolfe, J., Huang, H., Choiniere, C. and Fein, C. (2013), “Association of health profession and direct-to-consumer marketing with infant formula choice and switching”,  Birth，40, 24-31.

[24] Gong, T., Li, F., Huang, H., Dong, X., Tang, J. and Tang, X. (2010). “Relations of maternal and child MTR, MTRR gene polymorphism with CHD”, Acta Academia Medicinea Militaries Tertiae, 2, 127–130.

 

教学课程

1. 本科课程：时间序列分析、贝叶斯统计、统计计算、多元统计分析、统计学习

2. 研究生课程：函数型数据分析