Hi, I'm Ben

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.

Here's a selection of projects I'm proud of

Stochastic Time-Inverted Lagrangian Transport model

An open source lagrangian particle dispersion model

Tracer simulations

Simulates transport and dispersion of a stochastic particle ensemble

Kernel based gridding

Gaussian kernel algorithm to distribute influence field

Scalable parallelizatin

Methods for single node and SLURM cluster parallelization

WRF and HRRR friendly

Compatible with popular meteorological data products

TRAX light-rail air quality measurements

Air quality and trace gas measurements on Salt Lake City's light rail system


Ongoing measurements

Autonomous mobile laboratory for urban air quality and trace gas measurements

Mapping urban pollution

Long term trends reveal areas with consistently higher pollutant concentrations

Visualization dashboards and technical utilities

Trace gas and air quality data utilities available at air.utah.edu


Interactive visualizations

Over 10 years of scientific grade measurements made available to the public

Technical diagnostics

Technical dashboards and interactive utilities to monitor measurement network status

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