Work & Education

Working Experience

2022-now, 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

Education

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