Huang Huang

About

2022-, Quantitative Researcher & Developer, Abu Dhabi Investment Authority (ADIA), UAE.
2019-2021, Research Scientist, King Abdullah University of Science and Technology (KAUST), Saudi Arabia.
- Research statistical modeling of multivariate spatio-temporal data with large size
- Apply machine learning models to environmental data with comparisons to spatio-temporal statistical models
- Lead reading groups on spatial machine learning
- Collaborate with computer scientists in developing high-performance packages for large geostatistical inference
- Mentor students on their internship on research
2018-2019, Postdoc Fellow II, Advanced Study Program, National Center for Atmospheric Research (NCAR), U.S.
- Research implementation and optimization of distributed parallel multi-resolution approximation of Gaussian process for large datasets
2017-2018, Postdoc Fellow, Department of Statistical Science, Duke University & Statistical and Applied Mathematical Sciences Institute (SAMSI), U.S.
Research statistical methods for climate problems and Bayesian hierarchical modeling of large ensembles

2014-2017, Ph.D. in Statistics, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
- Advisor: Prof. Ying Sun
Thesis: Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking
- Graduated with full GPA 4.0/4.0
2011-2014, Master in Computational Mathematics, Fudan University, China
- Advisor: Prof. Weiguo Gao
- Thesis: 有向图的随机采样谱稀疏化方法 (Spectral Sparsification Methods of Directed Graphs via Random Sampling, in Chinese)
- Outstanding graduate of Fudan University, 2014
2007-2011, Bachelor in Mathematics, Fudan University, China

Spatial Statistics, Statistical Computing, High-Performance Computing, Machine Learning.