Skills

• Platform
  Proficient: PC, Workstation, Server
  Intermediate: Cloud Computing (e.g. Amazon Web Service), High Performance Computing (HPC)
• Programming
  Proficient: Python, Shell
  Intermediate: FORTRAN, Latex, Stata, MATLAB, R, C
  Basic: IDL, Perl, C#, JavaScript, VB, Julia, etc.
• Models
  Proficient: 3-D model of atmospheric chemistry and transport (e.g. GEOS-Chem), machine learning (e.g. scikit-learn), and solar photovoltaic performance modelling (e.g. PVLIB-Python)
  Intermediate: Spatiotemporal statistical models (e.g. panel data regression models and (multi-scale) geographically (temporal) weighted regression models)
  Basic: Cellular Automata (CA), Agent-based models (ABM)
• Software
  Proficient: ArcGIS Desktop, ENVI, and Microsoft Office
  Intermediate: CorelDRAW and Adobe Photoshop