I learn quickly, think critically, work carefully, read often, and never stop questioning how the world works. I’ve been coding since I was 13, when computers were beige boxes with 56.6K modems and PHP 3 was in vogue. I believe that real innovation happens when we push the boundaries of meteorology and data science instead of working within the boxes that others have drawn.
These days I work on ways to modernize meteorological forecasts using neural networks and other advanced statistical techniques.
Long-range forecasting, statistical calibrations and consolidations of dynamical models, model verification, model database creation and management, and neural network forecasts for weeks 3/4.
As a consultant I spearheaded a number of projects to improve predictions using intraseasonal and interannual modes of variability for a variety of private sector clients.
I managed the transition of metadata for >1,000 products to new database and created multiple Python programs to interface with RESTful API for myself and others to use.
Full-time yet temporary position in which I created and taught Introduction to Meteorology, Tropical Meteorology, Physical Meteorology (Thermodynamics), Environmental Issues, and Senior Seminar.