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 Symposium on Sustainable Systems and Technology 2017 Joint Conference, Chicago, Illinois. June 25-29, 2017. 9. Sherwin, E.D. (speaker); Azevedo, I.L. Do Low-income Electric Subsidies Change Electricity Consumption Behavior? Empirical Methods in Energy Economics. University of Southern California. Los Angeles, California. June 22-23, 2017. 10. Sherwin, E.D. (not speaker); De la Maza, C. (speaker); Azevedo, I.L. Do Low-income Electric Subsidies Change Peak Consumption Behavior? Association of Environmental and Resource Economists, Pittsburgh, Pennsylvania. May 31-June 2, 2017. 11. Sherwin, E.D. (speaker); Azevedo, I.L.; Meyer, R.M. Characterization of utility programs’ enrollment by income and region, European Council for an Energy Efficient Economy Summer Study, Hyères, France. May 29-June 3, 2017. 12. Sherwin, E.D. (speaker); Azevedo, I.L. Do Low-income Electric Subsidies Change Electricity Consumption Behavior? Applied Economics and Management Graduate Student Seminar Series. Cornell University, Ithaca, New York. March 31, 2017. 13. Discussant for “Sustainability, Volatility, and the Evolution of Energy Markets (Q4)” session of the International Association for Energy Economics/Allied Social Science Association conference in Chicago, USA, January 6-8, 2017. 14. Meyer, R.M.; Sherwin, E.D. (speaker); Azevedo I.L. (2016). Household Energy Consumption Effects of PG&E’s Electrical Efficiency Rebate Program. Behavior, Energy, and Climate Change Conference. Baltimore, Maryland. October 20-22, 2016.

Sherwin, Evan D. January 2021 4 15. Sherwin, E.D. (speaker); Henrion, M; Azevedo, I.L., (2016). The US energy system has become more volatile and harder to predict. Western Economic Association International 91st Annual Conference/Association of Environmental and Resource Economists 5th Annual Summer Conference, Portland, Oregon, June 30-July 2. 16. Sherwin, E.D. (Speaker); Henrion, M; Azevedo, I.L., (2016). Has the US Energy System Become More Volatile and Harder to Predict? Energy Technologies Area Seminar. Lawrence Berkeley National Laboratory. Berkeley, California, June 28, 2016. 17. Sherwin, E.D. (speaker); Azevedo, I.L.; Henrion, M., (2015). US energy surprises have become more frequent: retrospective analysis of U.S. energy forecasts, 33rd USAEE/IAEE North American Conference, Pittsburgh, Pennsylvania, USA, October 25- 28, 2015. 18. Sherwin, E.D. (speaker); Azevedo, I.L.; Henrion, M., (2015). US energy surprises have become more frequent: Retrospective analysis of U.S. energy forecasts, International Energy Agency seminar, International Energy Agency, Paris, France, July 9, 2015. 19. Sherwin, E.D. (speaker); Azevedo, I.L.; Henrion, M., (2015). U.S. Energy Surprises Have Become More Frequent: Retrospective analysis of U.S. energy forecasts, Annual Meeting of the Technology, Management, and Policy Graduate Consortium, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, June 21-24, 2015. 20. Sherwin, E.D. (speaker); Azevedo, I.L.; Henrion, M., (2015). Retrospective analysis of U.S. energy forecasts, Berkeley Institute for Data Science seminar, UC Berkeley, California, USA, January 6, 2015

Poster presentations 1. Sherwin, E.D. (presenter). Low-carbon electrofuel synthesis for aviation: A techno- economic analysis. Engineering Sustainability 2019, Pittsburgh, Pennsylvania. April 7-9, 2019. 2. Sherwin, E.D. (presenter), Kolter, J.Z, Azevedo, I.L. Identifying air conditioners using monthly household electricity consumption. CMU Symposium on Machine Learning in Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. May 10, 2017. 3. Sherwin, E.D. (presenter), Azevedo, I.L. Do Low-income Electric Subsidies Make Electricity Consumption More Peaky? Engineering Sustainability 2017, Pittsburgh, Pennsylvania. April 10, 2017.

Policy white papers 1. Sherwin, E.D.; Brandt, A.R; Finding super-emitting natural gas leaks from the sky. Stanford Natural Gas Initiative Brief. June 2020. 2. Sherwin, E.D.; Henrion, M. Lumina Decision Systems. (2012) Indirect Effects of an RFS Waiver on GHG Emissions from Livestock. Submission of comment on Docket ID No. EPA-HQ-OAR-2012-0632. Submitted to EPA October 11, 2012. 3. Produced for the United Stated Department of Energy Vehicle Technologies Program: a. Sherwin, E.D.; Henrion, M.; Jiang, X. (2014) What if Americans start buying smaller cars? Produced at Lumina Decision Systems. b. Sherwin, E.D.; Henrion, M.; Jiang, X. (2014) Scrap vs. Save: Effects of changing average vehicle lifetime? Produced at Lumina Decision Systems.

Sherwin, Evan D. January 2021 5 c. Henrion, M; Sherwin, E.D.; Jiang, X. (2014) How could RFS accelerate production of advanced biofuels? Produced at Lumina Decision Systems. d. Henrion, M; Sherwin, E.D.; Jiang, X. (2014) Strategies for offsetting the ethanol blend wall. Produced at Lumina Decision Systems. e. Henrion, M; Sherwin, E.D.; Jiang, X. (2014) What if battery costs drop by a factor of five in five years? Produced at Lumina Decision Systems. f. Henrion, M; Sherwin, E.D.; Jiang, X. (2014) What if there is a sudden spike in oil prices? Produced at Lumina Decision Systems. g. Jiang, X.; Henrion, M.; Sherwin, E.D. (2014) Evaluating the effects of battery learning rates on adoption of PEVs. Produced at Lumina Decision Systems. h. Jiang, X.; Henrion, M.; Sherwin, E.D. (2014) Would a carbon tax change our vehicle fleet? Produced at Lumina Decision Systems.

Current students 1. Zhan Zhang, PhD student in Stanford’s department of Energy and Resources Engineering. Geospatial mapping and remote sensing of global oil and gas infrastructure. Main advisor: Adam R. Brandt. Winter 2021-Present. 2. Sahar El Abbadi, PhD candidate in Stanford’s department of Civil and Environmental Engineering. Characterizing the prospects for using methanotrophic bacteria to cost- effectively convert waste methane into animal feed. Main advisor: Craig Criddle. Fall 2019-Present. 3. Yulia Chen, PhD student in Stanford’s department of Energy and Resources Engineering. Using aerial imaging to characterize methane leakage from oil and gas extraction in southwestern New Mexico. Main advisor: Adam R. Brandt. Fall 2019-Present. 4. Jeffrey Rutherford, PhD student in Stanford’s department of Energy and Resources Engineering. Improving bottom-up engineering estimates of methane emissions from oil and gas production. Main advisor: Adam R. Brandt. Spring 2019-Present. 5. Gregory Von Wald. PhD candidate in Stanford’s department of Energy and Resources Engineering. Evaluation of cost-effective system-level pathways for deep decarbonization of current residential natural gas end uses. Main advisor: Adam R. Brandt. Fall 2019-Present.

Past students 6. Adhokshaj Bellurkar, MS student in Stanford’s Emmet Interdisciplinary Program in Environment and Resources. Assessed the overall value of emerging oil and gas methane detection technologies. Fall 2019 7. Akhil Mathur, MS student in Carnegie Mellon University’s Energy Science, Technology, and Policy program. Developed an online survey about household behavior related to appliance purchases and energy efficiency rebates. Spring 2017.

Teaching and education 1. Completed: Future Faculty Program, Eberly Center for Teaching Excellence and Educational Innovation, Carnegie Mellon University. September, 2018. 2. Sherwin, E.D. (speaker). “How do we use energy? And how do we do so more efficiently?” & “Oil, Transportation, & Alternatives.” Educational outreach lectures for

Sherwin, Evan D. January 2021 6 21 high school students through the SUCCEED program at Carnegie Mellon University. July 21, 2016; July 9 & 11, 2018. 3. Led two Analytica software training guest lectures in 19702 Quantitative Methods for Policy Analysis. Instructor: Inês L. Azevedo. PhD level at Carnegie Mellon University. ~35 students. February 12, 2016 & February 16, 2017. 4. Teaching assistant for 19670/24680 Quantitative Entrepreneurship. Instructors: Jeremy J. Michalek, Kate S. Whitefoot. Master’s and PhD level at Carnegie Mellon University. 33 students. Average student evaluation: 4.1(SD=0.6) of 5, N=15. Fall 2016. 5. Led Analytica software training workshop for 10 PhD students, August 12, 13, 20, 2015. Average student evaluation: 4.7(SD=0.5) of 5, N=10.

Media 1. Media coverage for Tackling Climate Change with Machine Learning: a. Medium - Synced Review, Leading Researchers Publish ‘Climate Change + AI’ Document, June 20t, 2019 b. MIT Technology Review, Here are 10 ways AI could help fight climate change, June 20, 2019 c. Silicon Republic, World’s experts lay out 10 ways AI could help fight climate crisis June 21, 2019 d. The Verge, Here’s how AI can help fight climate change according to the field’s top thinkers, Jun 25, 2019 e. CNET, AI tools can help individuals tackle climate change, scientists say, June 26th 2019 f. NBC Bay Area, AI Can Help Lessen Dangers of Climate Change, Industry Leaders Say, Jun 28, 2019 g. Analytics India Magazine, AI Visionaries Bet On Machine Learning To Fight Climate Change, July 2019 h. Deepsense.ai, AI Monthly Digest #10 – AI tackles climate change and deciphers long-forgotten languages, July 8, 2019 i. National Geographic, How artificial intelligence can tackle climate change, July 18, 2019 j. Singularity Hub, Machine Learning vs. Climate Change: AI for the Greener Good, Jul 21, 2019 k. Towards Data Science, Mitigation of Climate Change with Machine Learning, July 28th, 2019 l. Freight Waves, Commentary: How can machine learning be applied to improve transportation? July 2019 m. Freight Waves, Commentary: Applying machine learning to improve the supply chain, July 2019 n. Datanami, How Machine Learning Can Help Us Stop Climate Change, July 1, 2019 o. Inside-it.ch Wie KI im Kampf gegen den Klimawandel helfen soll, June 20, 2019 p. India Times, How Artificial Intelligence Can Help Us Fight Climate Change And Make The World Better, July 1, 2019 q. Towards Data Science, Mitigation of Climate Change with Machine Learning, July 28, 2019

Sherwin, Evan D. January 2021 7 2. National Public Radio. Energy Supplies And Prices Have Grown More Unpredictable. March 27, 2018 a. Republished by 55 news outlets: America Oncue, KNBA: Anchorage, AK, WAMU: American University, KNAU: Arizona Public Radio, WYPR: Baltimore, MD, WRKF: Baton Rouge, LA, WSKG: Binghamton, NY, KBSX: Boise State Public Radio, WCBE: Central Ohio, KCBX: Central Coast Public Radio, WCLK: Clark Atlanta University, Colorado Public Radio, KERA: Dallas-Fort Worth, TX, KVLU: Dallas, TX, KTEP: El Paso, TX, GBP News, High Plains Public Radio, Houston Public Radio, WLRH: Huntsville, Alabama, Interlochen Public Radio: Northern Michigan, Iowa Public Radio, WJCT: Jacksonville, FL, KCUR: Kansas City, MO, Kansas Public Radio, WUKY: Lexington, KY, Long Island News Tech, WUWM: Milwaukee, Minnesota Public Radio, Maine Public, WKAR: Michigan State, New England Public Radio, WWNO: New Orleans Public Radio, KRWG: New Mexico State, WUNC: North Carolina Public Radio, WBOI: Northeast Indiana, WAMC: Northeast Public Radio, WINJ: Northern Public Radio, WUWF: Northwest Florida, KGOU: Oklahoma, KIOS: Omaha Public Radio, KPVU: Prairie View A&M University, WXPR: Rhinelander, WI, Rhode Island Public Radio, KPBS: San Diego, CA, KUOW: Seattle, WA, WVPE: South Bend, IN, KPCC: Southern California, SDPB, Texas Public Radio, WIUM: Tri States Public Radio, KRVS: University of Louisiana, KUNM: University of New Mexico, KMUW: Wichita, KS, Wyoming Public Media 3. EE News. Study finds flood of 'extreme' errors in EIA projections. March 27, 2018. a. Republished by: Governors’ Wind and Solar Energy Coalition 4. Nature Energy News & Views. Predicting unpredictability. Steven J. Davis. March 26, 2018. 5. Yale Environment 360. U.S. Energy Market Has Become More Unpredictable in Recent Decades. March 26, 2018. a. Republished by: Environmental News Network, Canadians for Affordable Energy 6. Axios. Energy markets have gotten more volatile and harder to predict. Axios. March 26, 2018. 7. Work with I.M. Azevedo and M. Henrion featured on the Carnegie Mellon College of Engineering website, through interview with E.D. Sherwin. May 31, 2016.

Software R (expert), Analytica (expert), STATA (strong), SQL (strong) ,Python (strong), Microsoft Excel (strong), Matlab (proficient), Sawtooth (proficient), Qualtrics (proficient), Amazon Mechanical Turk (proficient), HTML (basic)

Languages Native: English. Research reading: Spanish, French, German, Portuguese

Sherwin, Evan D. January 2021 8 References Adam R. Brandt, Stanford University, (650) 724-8251, [email protected] Inês L. Azevedo, Stanford University, (412) 268-3754, [email protected] Max Henrion, Lumina Decision Systems, (408) 891-2969, [email protected] Jeremy J. Michalek, Carnegie Mellon University, (412) 268-3765, [email protected] W. Michael Griffin, Carnegie Mellon University, (412) 268-2299, [email protected] M. Granger Morgan, Carnegie Mellon University, 412-268-2672, [email protected]

Sherwin, Evan D. January 2021 9