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Planning Committee and Speaker Biographical Information

PLANNING COMMITTEE

BENJAMIN C. LEE, Chair, is a professor of electrical and systems engineering and computer and information science at the University of Pennsylvania. He is also a visiting researcher at Google in the Global Infrastructure Group. Dr. Lee’s research focuses on computer architecture (microprocessors, memories, data centers), energy efficiency, environmental sustainability, and security. He builds interdisciplinary links to machine learning and algorithmic game theory to better design and manage computer systems. His research on environmentally sustainable computing, in collaboration with Harvard University, received an Expedition in Computing award from the National Science Foundation (NSF) in 2024. Dr. Lee was an assistant and then associate professor at Duke University. He received his postdoctorate in electrical engineering at Stanford University, PhD in computer science from Harvard University, and BS in electrical engineering and computer science from the University of California (UC), Berkeley. He has also held visiting positions at Meta AI, Microsoft Research, Intel Labs, and Lawrence Livermore National Laboratory. Dr. Lee received the NSF Computing Innovation Fellowship, NSF CAREER Award, and Google Faculty Research Award. He is an Institute of Electrical and Electronics Engineers (IEEE) fellow and Association for Computing Machinery (ACM) distinguished scientist.

AYSE K. COSKUN is a full professor at Boston University (BU) in the Department of Electrical and Computer Engineering, where she leads

the Performance and Energy Aware Computing Laboratory (PeacLab) to solve problems toward making computer systems more intelligent and energy efficient. Dr. Coskun is also the director of the BU Center for Information and Systems Engineering (CISE) and recently served as the interim associate dean for research at the BU College of Engineering. Her research interests intersect design automation, computer systems, and architecture. Her research outcomes are culminated in several technical awards, including the NSF CAREER Award, the IEEE CEDA Ernest Kuh Early Career Award, and an IBM Faculty Award. Dr. Coskun is a senior member of IEEE and ACM, and she currently serves as the deputy editor-in-chief of the IEEE Transactions on Computer Aided Design. She received her PhD in computer engineering from UC San Diego.

BENJAMIN KROPOSKI is the director of the Power Systems Engineering Center at the National Renewable Energy Laboratory (NREL) where he leads NREL’s strategic research in the design, planning, and operations of electrical power systems. He has more than 30 years of experience in the design, testing, and integration of renewable and distributed power systems. As an IEEE fellow, Dr. Kroposki was recognized for his leadership in renewable and distributed energy systems integration. He received his BSEE and MSEE from Virginia Tech and PhD from the Colorado School of Mines. Dr. Kroposki is also an adjunct professor at the Colorado School of Mines and the University of Colorado and teaches courses on integrating renewable energy into power systems. He serves as the organizational director for the Universal Interoperability for Grid-Forming Inverters Consortium tackling the challenges with seamless integration of inverter-based resources and synchronous machines in all power systems.

ERIC MASANET is the Mellichamp Chair in Sustainability Science for Emerging Technologies at UC Santa Barbara, where he is also a professor in the Bren School of Environmental Science and Management and (by courtesy) in the Department of Mechanical Engineering. He has coauthored more than 150 scientific publications on sustainability modeling of energy and materials demand systems, with particular focuses on data centers and information technology (IT) systems. He has held numerous service roles to help advance energy and climate technology policy and their scientific evidence bases. These include service as the head of the Energy Demand Technology Unit at the International Energy Agency in Paris (2015–2017), a lead author of the Intergovernmental Panel on Climate Change’s (IPCC’s) Sixth Assessment Report (Chapter 5: Demand), an author of the Fifth U.S. National Climate Assessment, a member of the research advisory board of the American Council for an Energy Efficient Economy (2019–2024), and as a consultant at the U.S. White House

Office of Science and Technology Policy (2022–2024). He holds a PhD in mechanical engineering, with an emphasis on sustainable design and manufacturing, from UC Berkeley.

PRASHANT SHENOY is currently a distinguished professor and associate dean in the College of Information and Computer Sciences at the University of Massachusetts Amherst. His research interests lie in distributed systems and networking, with a recent emphasis on cloud and sustainable computing. He has been the recipient of several best paper awards at leading conferences, including a Sigmetrics Test of Time Award. He serves on the editorial boards of several journals and has served as the program chair of more than a dozen ACM and IEEE conferences. He is a fellow of ACM, IEEE, the American Association for the Advancement of Science (AAAS), and the American Institute of Aeronautics and Astronautics (AIAA). He received the BTech degree in computer science and engineering from the Indian Institute of Technology, Bombay, and an MS and a PhD in computer science from the University of Texas at Austin (UT Austin).

CAROLE-JEAN WU is a director of artificial intelligence (AI) research at Meta, where she leads the Systems and Machine Learning Research team. She is a founding member and a vice president of MLCommons, a nonprofit organization that aims to accelerate machine learning innovations for the benefit of all. Prior to Meta/Facebook, Dr. Wu was a tenured professor at Arizona State University. Dr. Wu’s expertise sits at the intersection of computer systems and machine learning, with a focus on performance, energy efficiency, and sustainability. Her work spans across data center infrastructures and edge systems. Dr. Wu’s work has been recognized with several awards, including IEEE Micro Top Picks and ACM/IEEE Best Paper Awards. She is the recipient of the NSF CAREER Award, CRA-WP Anita Borg Early Career Award Distinction of Honorable Mention, IEEE Young Engineer of the Year Award, and Science Foundation Arizona Bisgrove Early Career Scholarship and is in the Hall of Fame of ACM/IEEE International Symposium on Computer Architecture, IEEE International Symposium on High-Performance Computer Architecture, and IEEE International Symposium on Workload Characterization. She earned her MA and PhD from Princeton University and BSc from Cornell University.

SPEAKERS

NATE BENFORADO is a senior attorney at the Southern Environmental Law Center. Based in Charlottesville, Virginia, his work focuses on energy and utility issues in Virginia—from reducing carbon dioxide emissions

from power plants to advancing energy efficiency programs that lower energy bills and cut emissions. Data centers have been a significant issue in Virginia for years, but recent growth projections have elevated the issue even more. Mr. Benforado litigates cases at Virginia’s State Corporation Commission, which regulates the state’s utilities, and works on related legislation at the General Assembly.

RICARDO BIANCHINI is a technical fellow and the corporate vice president at Microsoft Azure, where he leads the team responsible for managing Azure’s Compute workload, server capacity, and data center infrastructure with a strong focus on efficiency and sustainability. Before joining Azure in 2022, Dr. Bianchini led the Systems Research Group and the Cloud Efficiency team at Microsoft Research (MSR). During his tenure at MSR, he created research projects in power efficiency and intelligent resource management that resulted in large-scale production systems across Microsoft. Prior to joining Microsoft in 2014, Dr. Bianchini was a professor at Rutgers University, where he conducted research in data center power and energy management, energy-aware storage systems, energy-aware load distribution across data centers, and leveraging renewable energy in data centers. He received his PhD in computer science from the University of Rochester. He is a fellow of both ACM and IEEE.

JULIE BOLTHOUSE is the director of land use at Piedmont Environmental Council where she has worked for 14 years. She manages eight field staff that work on land use issues in Clarke, Loudoun, Fauquier, Rappahannock, Culpeper, Orange, Madison, Greene, and Albemarle counties. She holds a bachelor’s degree in fisheries science with a minor in watershed management and two master’s degrees in urban affairs and planning and natural resources. Her advocacy work has allowed her to work on a wide variety of land use issues for the past decade but for the past 3 years she has been focused primarily on the pressing issue of the growing data center market in Virginia and massive expansions of the state’s energy infrastructure to serve it.

SARAH BOYD has spent her career using life-cycle assessment (LCA) to drive decision-making in the corporate world. She is the chief strategy officer of Aligned Incentives (now a part of Bureau Veritas) where she uses LCA at scale to identify granular carbon mitigation actions at the product and corporate level. Prior to joining Aligned Incentives, Dr. Boyd led product carbon footprinting for new product introductions at Apple. In her previous work in consulting, she led more than 100 product and corporate sustainability projects with clients across information and communication technology (ICT), electrical utilities, aerospace, construction,

and consumer products sectors, and led data updates for the GaBi U.S. LCA database for Sphera. Dr. Boyd holds a BS from Stanford University and MS and PhD in mechanical engineering from UC Berkeley. Her book Life-Cycle Assessment of Semiconductors has found broad use with sustainability practitioners in ICT looking to drive LCA-based decisions themselves.

ANDREW A. CHIEN is the William Eckhardt Distinguished Service Professor of Computer Science at the University of Chicago and senior scientist at Argonne National Laboratory. He has led the Zero-Carbon Cloud project since 2015 and is well known for his research on data centers, renewable energy and sustainability, cloud resource management and software, large-scale system architecture, and graph computing architecture. He is leader of the Intelligence Advanced Research Projects Activity–funded UpDown System Project, designing breakthrough scalable graph analytics systems. He is a leader in the NSF Expedition on Computational Decarbonization. Dr. Chien has received numerous recognitions for his research. He currently serves on the NSF CISE Advisory Committee, NSF Advisory Committee on Advanced Cyberinfrastructure, and the Defense Advanced Research Projects Agency (DARPA) Information Sciences and Technology (ISAT) advisory group. He is a fellow of ACM, IEEE, and AAAS. He served as the editor-in-chief of Communications of the ACM (2017–2022) and vice president of research at Intel Corporation (2005–2010). He has served on the faculty of the University of Illinois and as the SAIC Chair Professor at UC San Diego. He received his BS, MS, and PhD from the Massachusetts Institute of Technology (MIT).

TIM CYWINSKI is a political communications specialist who advocates for a livable, just future. His career in political, legislative, and social advocacy spans more than 14 years and has centered on pushing for policy that advances justice in the context of poverty, student rights, education, college affordability, economic security, sustainability, and climate change. Mr. Cywinski currently leads public relations and communications strategy at the Sierra Club Virginia Chapter with a focus on promoting environmental justice policy at the local, state, and federal levels. Prior to the Sierra Club, he held a multitude of positions related to electoral campaigning, community organizing, and federal and state level lobbying. Outside of his professional position, Mr. Cywinski presents strategic communications, grassroots planning, and legislative advocacy training to civic and community groups. He earned a bachelor’s degree in political science from Roanoke College in 2015 and a master’s degree in political communications and public relations and media from Johns Hopkins University in 2023.

WILLIAM DALLY joined NVIDIA in January 2009 as the chief scientist, after spending 12 years at Stanford University, where he was chair of the Computer Science Department. Dr. Dally and his Stanford team developed the system architecture, network architecture, signaling, routing, and synchronization technology that is found in most large parallel computers today. He was previously at MIT from 1986 to 1997, where he and his team built the J-Machine and the M-Machine, experimental parallel computer systems that pioneered the separation of mechanism from programming models and demonstrated very low overhead synchronization and communication mechanisms. From 1983 to 1986, he was at the California Institute of Technology (Caltech), where he designed the MOSSIM Simulation Engine and the Torus Routing chip, which pioneered “wormhole” routing and virtual-channel flow control. He is a member of the National Academy of Engineering, a fellow of the American Academy of Arts and Sciences, a fellow of IEEE and ACM, and has received the ACM Eckert-Mauchly Award, the IEEE Seymour Cray Award, and the ACM Maurice Wilkes award. He has published more than 250 papers, holds more than 120 issued patents, and is an author of four textbooks. Dr. Dally received a bachelor’s degree in electrical engineering from Virginia Tech, a master’s degree in electrical engineering from Stanford University, and a PhD in computer science from Caltech. He was a co-founder of Velio Communications and Stream Processors.

DAVIDE D’AMBROSIO is one of the lead authors of the World Energy Outlook (WEO) series and WEO special reports. Mr. D’Ambrosio’s work includes extensive modeling and analysis to assess the long-term implications of current energy trends, government policies, and climate commitments. He is also the head of the Sustainability, Technology, and Outlooks Data Working Group at the International Energy Agency (IEA). He leads the development of data analytics and visualization tools for IEA’s modeling teams, with a particular emphasis on policy and technology. Before joining the WEO team, he held various roles at IEA, working on energy statistics and energy technology. He holds a master’s degree in computer science engineering.

PETER de BOCK currently serves as the program director at the Advanced Research Projects Agency–Energy (ARPA-E) for the Department of Energy (DOE). At ARPA-E, Dr. de Bock leads and developed the ASCEND and PRE-TRAILS programs to realize a future of sustainable aviation. In addition, he developed the COOLERCHIPS program focused on making a transformational leap in efficiency of cooling of data centers and manages projects in the areas of ultra-high power density battery systems, hydrogen storage and propulsion, additive

manufacturing, and power electronics. Prior to joining ARPA-E, Dr. de Bock worked at GE Research as a principal engineer for ThermoSciences and platform lead for Power-Thermal Mechanical Systems. He is the former chair of the ASME K-16 committee on heat transfer in electronics equipment, an ASME fellow, an AIAA member, and he holds more than 50 patents and publications. Dr. de Bock received his PhD in mechanical engineering from the University of Cincinnati and holds MSc degrees from the University of Twente in the Netherlands and the University of Warwick in the United Kingdom.

TAMAR EILAM is an IBM fellow and the chief scientist for sustainable computing in the IBM T.J. Watson Research Center in New York. Dr. Eilam is leading research aiming at drastically reducing the carbon footprint associated with computing across infrastructure, systems, and software, data, and AI. She completed a PhD in computer science in the Technion, Israel, in 2000. She joined the IBM T.J. Watson Research Center in New York as a research staff member that same year. She was recognized as an IBM fellow in 2014.

COOPER ELSWORTH is a researcher and corporate sustainability practitioner developing actionable emissions data to drive corporate decarbonization. He is a technical program manager at Google, where he manages data pipelines to monitor and reduce the emissions of Google’s data center workloads, including those for AI products. These data power detailed emissions allocation and reporting to customers across Google’s enterprise products. Dr. Elsworth previously advised Fortune 500 companies to advance their sustainability programs and developed sustainability software products at Watershed—a carbon accounting software startup. He also built near-real-time deforestation and forest carbon monitoring tools to enable agricultural commodity teams to reduce deforestation happening in their supply chains at Descartes Labs—a satellite imagery analytics startup. Prior to his work on corporate climate action, Dr. Elsworth’s academic research identified ice sheet tipping points to better constrain sea-level rise. He holds a PhD in geophysics and an MS in computational mathematics from Stanford University and an MS and a BS in engineering science from Pennsylvania State University.

LAURA GONZALEZ GUERRERO is currently working as an energy and regulatory policy manager at Clean Virginia since October 2020. Her master’s degree is in public policy from the University of Virginia. She was part of the DOE summer internship program, where she worked on fuel cells and hydrogen technologies implementation. For her graduation project, Ms. Guerrero worked with the Energy Office of South Carolina,

studying options to increase access to clean energy for low- to moderate-income communities. She has previously worked in net-neutrality policy and online privacy topics in Colombia.

RAVI JAIN is the head of products and technology at Tapestry, the moonshot for applying AI to decarbonizing the electric grid at X (formerly Google X). Dr. Jain has held several roles developing groundbreaking technological products, including leading AI for augmented reality (AR) and Metaverse at Meta and Search AI and Alexa at Amazon. He also served as the chief technology officer for Microsoft co-founder Paul Allen’s Vulcan Inc., a director for mobile advertising at Google, and a senior scientist at Bellcore. He has a PhD in computer science, more than 70 research papers, 3 books, and more than 30 patents. Dr. Jain is an IEEE fellow and an advisor to venture capital firms and startups.

PRAKHAR MEHROTRA is the managing director of applied AI at Blackstone. He is responsible for helping Blackstone’s portfolio companies apply AI and capitalize on this powerful technology. Prior to joining Blackstone, Dr. Mehrotra served as the corporate vice president and head of applied AI for Walmart US. He led Walmart’s team to win the prestigious Franz Edelman Prize 2023 by the Institute of Operations Research and Management Sciences (INFORMS) for its work on supply-chain optimization. Prior to Walmart, he led the AI group at Uber. He started his career as a data scientist at Twitter. Dr. Mehrotra holds a PhD in aeronautics from Caltech and a master’s degree from École Polytechnique, Paris. He is a two-time recipient of the Edelman Medal (2020, 2023) and an IEEE senior member. He serves on the peer-review committee for major AI conferences (International Conference on Learning Representations, International Conference on Autonomous Agents and Multiagent Systems, Computer Vision and Pattern Recognition, INFORMS). He was named in the AI 100 list as top people in AI. During his graduate studies, he was awarded the Ernest E. Sechler Award in aeronautics by Caltech and the Gaspard Monge Medal from École Polytechnique.

MILOŠ POPOVIC is a senior technical architect and the co-founder at Ayar Labs, a technology startup developing optical input/output (I/O) chiplets, based on silicon photonics, to enable the efficient scaling of AI and other computer hardware via optical interconnection. The technology stemmed from early research and demonstrations in his and his collaborators’ university research groups, which included demonstration of the first microprocessor that communicates using light in 2015. Dr. Popovic is also an associate professor of electrical and computer engineering at BU and in the BU Photonics Center, where he leads the Silicon Photonics Research

Group. He received his BSc in electrical engineering from Queen’s University, Canada, and his MS and PhD from MIT. Previously, he was on the faculty at the University of Colorado Boulder. His interests are in the theory and design of novel photonic integrated circuit technologies and in the on-chip integration of photonics and CMOS electronics. He is an author or co-author of more than 45 patents and 250 journal and conference papers. Dr. Popovic is a fellow of the Packard Foundation and of the National Academy of Inventors.

VARUN RAI is the Walt and Elspeth Rostow Professor in the LBJ School of Public Affairs at UT Austin, with a joint appointment in mechanical engineering. Through his interdisciplinary research at the interface of complex systems, decision science, and public policy, he studies emergence in socio-technical systems, with applications toward the design of a sustainable and resilient global energy system. He was a Global Economic Fellow in 2009 and a commissioner for the vertically integrated electric utility Austin Energy from 2013–2015. At UT Austin, he has served as the associate dean for research for the LBJ School (2017–2022) and as the director of the UT Austin Energy Institute (2019–2021). In 2016, the Association for Public Policy Analysis and Management awarded him the David N. Kershaw Award and Prize, which “was established to honor persons who, at under the age of 40, have made a distinguished contribution to the field of public policy analysis and management.” He received his PhD and MS in mechanical engineering from Stanford University and a bachelor’s degree in mechanical engineering from the Indian Institute of Technology, Kharagpur.

LINE ROALD is an associate professor in the Department of Electrical and Computer Engineering at University of Wisconsin–Madison, where she leads the Wisconsin Power Optimization research group focused on the optimization, sustainability, and resiliency of electric power grids. She received her PhD in electrical engineering (2016) from ETH Zurich, Switzerland, and was a postdoctoral research fellow at Los Alamos National Laboratory. She is the recipient of an NSF CAREER award, the Vilas Early Career Investigator Award, and several best paper awards and has co-authored more than 100 scientific papers. Her research interests center on the modeling and optimization of the electric grid—and infrastructures that depend on it—with a particular focus on managing uncertainty and risk from extreme weather and renewable energy variability.

COSTA SAMARAS is the director of Carnegie Mellon University’s (CMU’s) Scott Institute for Energy Innovation and the Trustee Professor of Civil and Environmental Engineering. He is an affiliated faculty member

in the Department of Engineering and Public Policy and in the Heinz College of Information Systems and Public Policy. He analyzes how technologies and policies affect energy and emissions pathways, security, climate resilience, and economic and equity outcomes. From 2021–2024, he served in the White House Office of Science and Technology Policy (OSTP) as the principal assistant director for energy, OSTP chief advisor for energy policy, and then OSTP chief advisor for the clean energy transition. He assessed technologies and policies to achieve national climate commitments, co-led the White House report U.S. Innovation to Meet 2050 Climate Goals, co-led the climate and clean energy efforts of the President’s Executive Order on Artificial Intelligence, and led the White House report on the climate and energy implications of digital assets. He was previously a senior researcher at the RAND Corporation as well as a megaprojects engineer in New York City. He received a joint PhD in civil and environmental engineering and engineering and public policy from CMU.

KELLY SANDERS is an associate professor in the University of Southern California’s Sonny Astani Department of Civil and Environmental Engineering, currently on academic leave to serve as the assistant director of energy systems innovation at OSTP. Her research aims to accelerate the pace decarbonization and electrification, analyze tensions between climate change adaptation and mitigation strategies, and reduce the environmental impacts of providing energy and water. Dr. Sanders has authored more than 50 peer-reviewed publications and has been recognized in Forbes’ 30 under 30 in energy, MIT Technology Review’s 35 innovators under 35, and the American Academy of Environmental Engineers and Scientists 40 under 40 for her contributions to the energy field. In 2019, she was granted an NSF Early CAREER award. Her research and commentary have been featured in national and international media outlets, including The New York Times, The Los Angeles Times, The Washington Post, Foreign Affairs, WIRED magazine, Forbes, Bloomberg, The Wall Street Journal, and Scientific American. Dr. Sanders received her BS in bioengineering from Pennsylvania State University and an MSE and a PhD in mechanical engineering and environmental engineering from UT Austin.

ARMAN SHEHABI is a staff scientist in the Energy Analysis and Environmental Impacts Division of the Energy Technologies Area at Lawrence Berkeley National Laboratory (LBNL). He has more than 15 years of experience measuring and modeling the potential energy, economic, and air pollutant impacts associated with the large-scale adoption of clean energy policy and technologies for buildings and manufacturing, with extensive research focused on ICT. Dr. Shehabi’s research at LBNL applies LCA

methods to explore systems-wide energy, emissions, and materials flows through buildings and industrial sectors. His current work is focused on emerging technologies and industries in the areas of data center energy/water use, electronic waste recycling, building material circularity, and industrial decarbonization. Dr. Shehabi has authored more than 50 journal articles, research reports, and conference papers. His work has been published in Science magazine and Nature journals, cited in U.S. congressional legislation, and featured in BBC, NPR, and New York Times stories. Prior to joining LBNL, Dr. Shehabi held fellowship positions with the National Academy of Sciences in Washington, DC, and with the Consortium on Green Design and Manufacturing at UC Berkeley. He received his MS and PhD in environmental engineering from Stanford University and UC Berkeley, respectively, with an emphasis in building energy use and indoor air quality. Between graduate programs, he also worked as an engineering consultant and LEED-Accredited Professional to develop and implement sustainable building metrics.

AGEE SPRINGER is a senior manager of Grid Interconnections at the Electric Reliability Council of Texas (ERCOT). His department is responsible for the reliable integration of all generation and large load interconnection requests into the ERCOT system. Prior to assuming this position, Mr. Springer served as the manager of Large Load Integration, which oversees the interim interconnection process for large loads, develops ERCOT Protocol and Planning Guide revisions to ensure their reliable operation on the ERCOT system, and provides support for ERCOT’s Large Flexible Load Task Force. His past experience at ERCOT includes developing situational awareness displays for the ERCOT control room, providing real-time engineering support and training for ERCOT system operators, performing analyses of ERCOT operational and market data, and leading ERCOT’s Engineer Development Program. He has also served as the manager of market operations for RWE Renewables Americas. He holds a BS in physics from Duke University and an MSEE from UT Austin.

VIVIENNE SZE is a professor in the Department of Electrical Engineering and Computer Science at MIT. She works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the Internet of Things.

VALERIE TAYLOR is the director of the Mathematics and Computer Science Division and a distinguished fellow at Argonne National Laboratory. Her research is in high-performance computing, with a focus on performance analysis, modeling, and tuning of parallel, scientific

applications using AI. Her current work is on energy efficient methods. Prior to joining Argonne, she was the senior associate dean of academic affairs in the College of Engineering and a regents professor and the Royce E. Wisenbaker Professor in the Department of Computer Science and Engineering (CSE) at Texas A&M University. In 2003, she joined Texas A&M University as the department head of CSE, where she remained in that position until 2011. Prior to joining Texas A&M, Dr. Taylor was a member of the faculty in the Department of Electrical Engineering and Computer Science at Northwestern University for 11 years. She is also the chief executive officer and president of the Center for Minorities and People with Disabilities in IT, for which she is a co-founder. Dr. Taylor is a fellow of IEEE, ACM, and AAAS. She earned her BS in electrical and computer engineering and MS in computer engineering from Purdue University in 1985 and 1986, respectively, and PhD in electrical engineering and computer science from UC Berkeley in 1991.

T. BRUCE TSUCHIDA is a principal of The Brattle Group and has more than 30 years of experience in domestic and international power generation development, utility operations, and energy market analysis. He specializes in bridging technology, economics, and regulatory policy, particularly in assessing the impact of new technologies and regulatory changes. His expertise is largely in the electricity industry but also expands into the natural gas industry, includes integration studies for intermittent resources such as wind and solar power, storage technologies, operational logic studies, ancillary service studies, new load studies, and analyses required for regulatory proceedings. His work associated with regulatory proceedings includes cost-benefit analyses, such as evaluating new technologies and the resource portfolio, as well as cost of service studies and rate design. He has analyzed and modeled market restructuring for the energy industry and power systems and evaluated utility business model options associated with the change in markets (structural changes through deregulation or varying cost allocation methods, and landscape changes such as increase in renewables, change in fuel requirements, or evolving load types). Mr. Tsuchida holds two MS degrees from MIT, one in electrical engineering and computer science and the other in technology and policy. He holds a BE in mechanical engineering from Waseda University in Tokyo, Japan.

ADAM WIERMAN is the Carl F. Braun Professor in the Department of Computing and Mathematical Sciences at Caltech. He is also a founding advisor for Verrus, a startup building sustainable, grid-integrated data centers. He received his PhD, MSc, and BSc in computer science from CMU. Dr. Wierman’s research strives to make the networked systems that govern our world sustainable and resilient. He is best known for his

work spearheading the design of algorithms for sustainable data centers, which has seen significant industry adoption, and his work on heavy tails, including co-authoring the book The Fundamentals of Heavy Tails. He is a recipient of a variety of awards, including the ACM Sigmetrics Rising Star award, the ACM Sigmetrics Test of Time award, the IEEE INFOCOM Test of Time award, the IEEE Communications Society William R. Bennett Prize, the Caltech IDEA Advocate award, multiple teaching awards, and is a co-author of papers that have received “best paper” awards at a wide range of conferences across computer science, power engineering, and operations research.

THOMAS WILSON is a principal technical executive in the Integrated Grid and Energy Systems Division at the Electric Power Research Institute (EPRI). Dr. Wilson has conducted and managed research related to energy and environmental issues for more than 40 years, the majority of which he has spent at EPRI. He has served as a convening lead author for the U.S. National Climate Assessment and as a contributing author to IPCC’s Fifth Assessment and has served in advisory roles to research groups, including MIT’s Joint Program on the Science and Policy of Global Change, the University of Maryland’s Global Energy Technology Strategy Program, Stanford University’s Energy Modeling Forum, and NREL. From April 2022–June 2023, Dr. Wilson served as the assistant director for electricity at OSTP. He co-authored EPRI’s white paper “Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption” and supported development of the Secretary of Energy Advisory Board recommendations to DOE on actions they could take to help power data centers.

ROBERT S. “ROBBIE” WRIGHT, JR., is the vice president, Strategic Partnerships, Dominion Energy Virginia. He leads the company’s Strategic Partnerships team, which focuses on meeting the needs of the largest commercial, industrial, governmental, and electric wholesale customers for Dominion Energy Virginia. He also heads the Data Center Practice, Rural Broadband, and Energy Conservation organizations at Dominion Energy Virginia. Mr. Wright joined Dominion Energy in 1993 as an associate engineer and has held numerous technical, operational, and leadership roles related to the design, construction, and operation of the distribution system. In 2015, he was promoted to director of Electric Grid Planning and Asset Management at Dominion Energy Virginia, where he oversaw load planning and reliability performance for the electric distribution system, as well as vegetation management and asset data maintenance activities. Mr. Wright also has served as the lead witness for key areas of the company’s Grid Transformation Plan filings since 2018. In 2022, he

was named vice president for Grid and Technical Solutions for the company’s Power Delivery Group. He assumed his current position in June 2024. He serves on the board of directors of the GridWise Alliance and is a member of the SEE Engineering and Operations Executive Committee. Mr. Wright received his bachelor’s degree in electrical engineering from North Carolina State University. He is a Registered Professional Engineer in Virginia.

ERIC P. XING is the president of the Mohamed bin Zayed University of Artificial Intelligence, and a professor of computer science at CMU. He completed his undergraduate degree at Tsinghua University and holds a PhD in molecular biology and biochemistry from Rutgers University and a PhD in computer science from UC Berkeley. His main research interests are the development of machine learning and statistical methodology and large-scale distributed computational system and architectures for solving problems involving automated learning, reasoning, and decision-making in artificial, biological, and social systems. In recent years, he has been focusing on building large language models, world models, agent models, and foundation models for biology. Professor Xing has served on the editorial boards of leading scientific journals, including the Journal of the American Statistical Association, Annals of Applied Statistics, PLOS Computational Biology, and Journal of Machine Learning Research. He was a member of the DARPA ISAT advisory group, and a recipient of the NSF CAREER Award, Sloan Fellowship, Air Force Office of Scientific Research Young Investigator Award, IBM Open Collaborative Research Faculty Award, Carnegie Science Award, and best paper awards in several leading AI/computer science conferences such as the Association for Computational Linguistics, Neural Information Processing Systems, Operating Systems and Design Implementation, and Intelligent Systems for Molecular Biology. He is a fellow of the Association for the Advancement of Artificial Intelligence, ACM, the American Statistical Association, IEEE, and the Institute of Mathematical Statistics.

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