• 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

Research Interest

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