Career

• 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

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

Research Interest

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