Alta Sustainability Leadership Award
Recognizing excellence in leadership for the health of our community and planet.
I build tools to improve our understanding of the world. My work involves atmospheric modeling, big data architecture, machine learning, HPC and cloud computing, server/network administration, and measurement control system development.
I've designed measurement systems and analysis frameworks for Google Street View cars, Salt Lake City's light-rail system, vehicle based mobile laboratories, and multiple networks of remote measurement systems. These data paired with atmospheric models are used to quantify the urban carbon cycle, spatially correlate pollution exposure with cardiovascular and respiratory illness, estimate bulk methane fluxes from developing oil and gas basins, and examine chemical processes driving the formation of aerosols.
When I'm not working, you can usually find me climbing mountains.
An open source lagrangian particle dispersion model
Simulates transport and dispersion of a stochastic particle ensemble
Gaussian kernel algorithm to distribute influence field
Methods for single node and SLURM cluster parallelization
Compatible with popular meteorological data products
Van-based mobile laboratory for pollution measurement campaigns
Automated measurement systems map pollutant exposure and trace gas concentrations
iPad app controls measurement systems and displays real-time measurements and diagnostics
Air quality and trace gas measurements on Salt Lake City's light rail system
Autonomous mobile laboratory for urban air quality and trace gas measurements
Long term trends reveal areas with consistently higher pollutant concentrations
Trace gas and air quality data utilities available at air.utah.edu
Over 10 years of scientific grade measurements made available to the public
Technical dashboards and interactive utilities to monitor measurement network status