Skills

  • Bayesian erosion model for detrital thermochronological ages inversion
    • Bayesian probabilistic programming with Markov chain Monte Carlo (MCMC) methods (PyMC).
  • Python
    • Data analysis and visualization (jupyter lab, matplotlib, scipy, scikit-learn, seaborn)
    • Dataset management (pandas)
    • Geospatial (gdal, pcraster)
    • Package distribution (conda, pip)
  • Matlab
    • Morphometric analysis (Topotoolbox, Topographic Analysis Kit)
    • River profile inversion
  • R
    • Fission track data plotting (IsoplotR)
    • Luminescence dating data analysis (RLum)
  • QGIS
  • HEC-RAS paleo-hydrological modeling
  • Laboratory
    • Luminescence dating sample preparation
    • Fission track dating sample preparation
    • Heavy mineral analysis
    • Detrital grain thin section preparation