Evan Sherwin Email & Phone Number

Berkeley, California, United States

As a data-informed energy and climate policy analyst investigating the role of hydrocarbon fuels and carbon dioxide removal in a rapidly decarbonizing economy, my research primarily focuses on leveraging emerging technologies and datasets to find and fix methane emissions across the oil and gas value chain. I also focus on techno-economic analysis of carbon dioxide removal and utilization technologies.

Stanford, California

What will be the role of hydrocarbon fuels in a rapidly decarbonizing energy system?How can we leverage remote sensing and quantitative modeling to reduce methane emissions from the oil and gas system? What should we do with natural gas distribution systems? What are the prospects for net-zero hydrocarbon fuels?

Greater Pittsburgh Area

My main domains of interest include understanding the role of quantitative energy systems models in multi-decade-scale energy decision-making, highlighted in my work characterizing uncertainty in long-term energy forecasts; expert-informed engineering-economic evaluation of technologies capable of massively reducing carbon dioxide emissions, expressed in my analysis of low-carbon options for aviation; and data-driven analysis of electricity consumption behavior, such as my evaluation of… Show more My main domains of interest include understanding the role of quantitative energy systems models in multi-decade-scale energy decision-making, highlighted in my work characterizing uncertainty in long-term energy forecasts; expert-informed engineering-economic evaluation of technologies capable of massively reducing carbon dioxide emissions, expressed in my analysis of low-carbon options for aviation; and data-driven analysis of electricity consumption behavior, such as my evaluation of residential energy efficiency and low-income electric subsidy programs. To address these questions, I have developed expertise in energy modeling; statistics, machine learning, and econometrics; eliciting information from experts and surveying laypeople; and numerous engineering disciplines, economics, and policy domains. Show less

Greater Pittsburgh Area

I am most interested in the interface between machine learning and causal inference, particularly data discovery, learning important characteristics based on available data (e.g. determining the presence of air conditioning in a household using electricity consumption data and machine learning and subsequently incorporating the presence of air conditioning as a variable in an econometric regression).

Los Gatos, Ca

Systems dynamics model developer in large-scale, long-term Analytica models of electric power and vehicle transportation systems.Lead developer for MegaJoule.org, a free online community-sourced information resource for estimates of numerical quantities that relate to energy technology. The numbers in MegaJoule.org attempt to answer questions like "What will the cost of solar cells be in 2020?"

I worked over the summers of 2009-2011 in the Complex Systems group under prof. Jean Carlson. I developed the Spatial and Temporal Fire (SaTFire) model, a Matlab-based program that models the spread of wildfire. SaTFire allows exploration of the space between semi-empirical fire models, such as Hfire, and percolation-based models discussed in self-organized criticality theory.

I worked in prof. Michael Goodchild's research group under Dr. Val Noronha on the Metropolitan Transportation Information System (MeTrIS), a project designed to streamline truck traffic through the ports of Los Angeles and Long Beach. I analyzed GPS data collected from hauler trucks that regularly visited the ports in an effort to characterize driving and delivery pattens. I also created geocoded KML maps of the terminals of the ports of Los Angeles and Long Beach.

Ba, Physics, Applied Mathematics

Education record