I’m an energy engineer who enjoys turning complex systems into clear, useful knowledge.

I work on the unglamorous middle of decarbonization: the compressed air line that leaks, the air handler that runs at full speed all night, the process heater nobody has trended since commissioning. Finding those is a measurement problem before it is an engineering problem, which is where my training comes in.

My M.S. in Industrial Engineering at West Virginia University was built around quantitative analysis — regression modeling in R and Python, large public datasets, and the statistics needed to defend a savings number to a utility reviewer. My thesis used U.S. county-level socio-economic and demographic data to understand how socioeconomic and demographic factors shape energy consumption. It produced one peer-reviewed paper and a review article.

Alongside that, I ran more than a dozen ASHRAE Level I–II assessments through the WVU Pollution Prevention Lab. Today I do the same work at Energy Sciences: on-site assessment, custom savings calculations, incentive validation, and post-install Measurement and Verification.

Before the U.S., I designed solar arrays and pumping systems with SunFarmer Nepal and studied the economics of moving Nepal's motorcycle fleet off gasoline. That work still shapes how I think about efficiency — as something that has to pencil out for the people paying for it.