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Evan D. Sherwin January 2021 Energy and Resources Engineering Email: [email protected] 367 Panama St

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Evan D. Sherwin January 2021 Energy and Resources Engineering Email: Evands@Stanford.Edu 367 Panama St Evan D. Sherwin January 2021 Energy and Resources Engineering Email: [email protected] 367 Panama St. Website: www.evansherwin.com Stanford, CA 94305, USA Office: (650) 736-3491 Education Ph.D. Carnegie Mellon University, Pittsburgh, PA, May 2019 Engineering and Public Policy Committee: Inês L. Azevedo (Chair, Carnegie Mellon University), Max Henrion (Lumina Decision Systems), M. Granger Morgan (Carnegie Mellon University), J. Zico Kolter (Carnegie Mellon University), Russell M. Meyer (NMR Group), Kenneth Gillingham (Yale University) M.S. Carnegie Mellon University, Machine Learning Dec. 2018 Advisor: J. Zico Kolter B.A. UC Berkeley, Physics May 2011 B.A. UC Berkeley, Applied Mathematics May 2011 Work experience Postdoctoral Research Fellow with Adam Brandt Stanford University, CA 2019-Present • Dept. of Energy and Resources Engineering: Evaluation of emerging methane leakage detection technologies and the future of natural gas in a decarbonizing world. • Led field trial of Kairos Aerospace airplane-based methane detection system. Programs Chair Climate Change AI 2020-Present • I manage ten volunteer AI and climate change experts. We put on workshops at top conferences, webinars, community events, and are designing a summer school. Graduate student researcher Carnegie Mellon University, Pittsburgh, PA 2014-2019 • Thesis title: Decisions and Uncertainties in the US Energy System: Electrofuels and Other Applications Teaching Assistant Carnegie Mellon University, Pittsburgh, PA Fall 2016 • Quantitative Entrepreneurship (MechE): Masters students partnered with companies and research labs to evaluate the engineering economics of an emerging technology. Energy Analyst Lumina Decision Systems, Los Gatos, CA 2011-2014 • Constructed quantitative models of the US vehicle transportation system and western US electric power system, wrote policy briefs, gave talks to government stakeholders. Research assistant UC Santa Barbara, Physics, with Jean M. Carlson 2009-2012 • Wildfire modeling, aiming to uncover drivers of the long-term distribution of fire sizes. Research assistant UC Santa Barbara, Geography, with Michael F. Goodchild 2008 • Geospatial analysis of truck traffic in southern California shipping ports. Papers • Sherwin, E. D.; Henrion, M; Azevedo, I. L. Estimation of the year-on-year volatility and the unpredictability of the United States energy system. Nature Energy. 3, p341–346 (2018). doi:10.1038/s41560-018-0121-4. #1 in media attention of 63 peers in Nature Energy. Sherwin, Evan D. January 2021 1 • Sherwin, E. D.; Azevedo, I. L. Characterizing the association between low-income electric subsidies and the intra-day timing of electricity consumption. Environmental Research Letters. 15; 12 (2020). • Sherwin, E.D.*; Chen, Y. *; Ravikumar, A.P.; Brandt, A.R. Single-blind test of airplane- based hyperspectral methane detection via controlled releases. Accepted at Elementa: Science of the Anthropocene. Preprint: https://eartharxiv.org/bqktv/ * Denotes equal contribution Submitted • Ross, A.S.; Sherwin, E.D. “Carbon Dioxide Removal” in Rolnick, D.; Donti, P; Kaack, L.H.; Kochanski, K.; Lacoste, A.; Sankaran, K.; Ross, A.S.; Milojevic-Dupont, N.; Waldman-Brown, A.; Luccioni, A.; Maharaj, T.; Sherwin, E.D.; Mukkavilli, S.K.; Kording, K.P.; Gomes, C.; Ng, A.Y.; Hassabis, D.; Platt, J.C.; Creutzig, F.; Chayes, J.; Bengio, Y. Tackling Climate Change with Machine Learning. Under review. Preprint: https://arxiv.org/abs/1906.05433 • Sherwin, E.D. Electrofuel synthesis from variable renewable electricity: An optimization- based techno-economic analysis. Revise & resubmit at Environmental Science and Technology. Preprint: http://ssrn.com/abstract=3646570 Working papers • Chen, Y.*; Sherwin, E.D.*; Berman, E.S.F.; Jones, B.B.; Gordon, M.P.; Kort, E.A.; Brandt, A.R. Quantifying methane emissions from oil and gas operations in the New Mexican Permian Basin with airplane-based hyperspectral detection. Target journal: Nature • Sherwin, E.D.; Meyer, R.M.; Azevedo, I.L. Irreducible uncertainty? Problems in ex-post evaluation of residential appliance energy efficiency programs. Target journal: Environmental Research Communications • Rutherford, J.; Sherwin, E.D.; Englander, J; Ravikumar, A.P.; Heath, G; Lyon, D; Omara, M; Langfitt, Q; Brand, A.R. Closing the gap: Explaining persistent underestimation of US natural gas production-stage methane inventories. Target journal: Nature Energy • El Abbadi, S.H.; Sherwin, E.D. Methane-to-food: Techno-economic assessment of prospects for methanotroph production for animal feed. Target journal: Nature Sustainability • Sherwin, E.D.; Peterson, S.H.; Doyle, J.C.; Carlson, J.M. Drivers of high variability in Southern California wildfires. Target journal: PLOS ONE Master’s thesis Sherwin, E.D. Identifying air conditioners using monthly household electricity consumption. Submitted in partial fulfillment of requirements for a Master’s of Science in Machine Learning from Carnegie Mellon University. Advisor: J. Zico Kolter. Peer-reviewed conference papers • Sherwin, E.D.; Azevedo, I.L. Do low-income electric subsidies make electricity consumption more peaky? Energy Efficiency in Domestic Appliances and Lighting, Irvine, California. September 13-15, 2017. p1270-1280. doi:10.2760/113534 Sherwin, Evan D. January 2021 2 • Sherwin, E.D.; Azevedo, I.L. Do low-income electric subsidies change electricity consumption behavior? International Energy Program Evaluation Conference, Baltimore, Maryland. August 8-10, 2017. • Sherwin, E.D.; Azevedo, I.L.; Meyer, R.M. Characterization of utility programs’ enrollment by income and region. European Council for an Energy Efficient Economy Summer Study, Hyeres, France. May 29-June 3, 2017. p1823-1829. Workshops and events organized 1. Founder and Chair of the Methane Emissions and Technology Alliance seminar series, with biweekly online talks from experts in industry, academia, government, and nonprofits. January 2020-Present. 2. Symposium Chair of the Stanford Natural Gas Initiative Symposium on Methane Emissions, February 23-25 2021, bringing perspectives from experts in industry, academia, government, and nonprofits on methane emissions and how to stop them. 3. Co-lead organizer, Tackling Climate Change with Machine Learning workshop. Thirty- fourth Conference on Neural Information Processing Systems. December 2020. 93 accepted submissions from five continents, about half of which participate in our mentorship program. Fellowships and awards Award Amount Award date Stanford Natural Gas Initiative grant for a graduate student and $42,909 Feb. 2020 some of my time for two quarters Stanford TomKat Center energyCatalyst grant to organize an $1,500 Winter 2020 AI for Climate Change Symposium in 2020 Gas Technology Institute research contract $164,383 Fall 2019 International Conference on Machine Learning Registration $150 Summer 2019 Fee Waiver United States Association for Energy Economics Conference $435 Fall 2018 Registration Fee Scholarship Carnegie Mellon University Graduate Student Assembly $500 Fall 2018 Conference Funding Travel award for invited talk at Carnegie Institution for $1,450 August 2018 Science Behavior, Energy, and Climate Change conference Precourt $395 July 2016 Fellow United States Association for Energy Economics Conference $400 July 2015 Registration Fee Scholarship Carnegie Mellon University Graduate Student Assembly $500 Summer 2015 Conference Funding Carnegie Mellon University Dean’s Fellowship $43,000 Fall 2014 National Science Foundation Graduate Research Fellowship $138,000 Summer 2014 Phi Beta Kappa Honor Society NA Spring 2011 Total $392,122 Sherwin, Evan D. January 2021 3 Invited talks and seminars 1. Sherwin, E.D. (speaker); Electrofuel synthesis from variable renewable electricity: An optimization-based techno-economic analysis. Energy Modeling, Analysis and Control group guest lecture. U.C. Berkeley. Berkeley, California. December 12, 2020. 2. Sherwin, E.D. (speaker); Tackling Climate Change with Thoughtful Machine Learning. Guest lecture in ER 131, “Data, Environment and Society,” at U.C. Berkeley, taught by D. Callaway. Berkeley, California. November 21, 2019. 3. Sherwin, E.D. (speaker); Low-carbon electrofuel synthesis from variable renewable electricity: An optimization-based techno-economic analysis. United States Association for Energy Economics. Denver, Colorado, November 3-6, 2019. 4. Sherwin, E.D. (speaker); Griffin, W.M.; Azevedo, I.L. Low-Carbon Electrofuel Synthesis for Aviation and Freight Transportation: A Techno-Economic Analysis. United States Association for Energy Economics. Washington, D.C., September 23-26, 2018. 5. Sherwin, E.D. (speaker); Griffin, W.M.; Azevedo, I.L. Low-Carbon Electrofuel Synthesis for Aviation and Freight Transportation: A Techno-Economic Analysis. Invited seminar at the Carnegie Institution for Science. Host: Ken Caldeira. Stanford, California, August 23, 2018. 6. Sherwin, E.D. (not speaker); Azevedo, I.L. Do Low-income Electric Subsidies Make Electricity Consumption More Peaky? Energy Efficiency in Domestic Appliances and Lighting, Irvine, California. September 13-15, 2017. 7. Sherwin, E.D. (not speaker); Meyer, R.M. (speaker).; Azevedo, I.L., Do Low-income Electric Subsidies Change Electricity Consumption Behavior? International Energy Program Evaluation Conference, Baltimore, Maryland. August 8-10, 2017. 8. Sherwin, E.D. (not speaker); Glasgo, B. (speaker); Azevedo, I.L. Do Low-income Electric Subsidies Change Electricity Consumption Behavior? International Society for Industrial Ecology-International
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