Data Advisory Board

Michael Baldea – The University of Texas at Austin, Department of Chemical Engineering

Michael Baldea is Assistant Professor and Frank A. Liddell, Jr. Centennial Fellow in the McKetta Department of Chemical Engineering and a core faculty member of the Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin. He received his diploma (2000) and M.Sc. degree (2001) in chemical engineering from Babes-Bolyai University in Cluj-Napoca, Romania and obtained a Ph.D. in chemical engineering from the University of Minnesota in 2006. Prior to joining The University of Texas, he held industrial research positions with Praxair Technology Center in Tonawanda, NY and GE Global Research in Niskayuna, NY. He has received several research and service awards, including the NSF CAREER ward, the Moncrief Grand Challenges Award, the ACS Doctoral New Investigator award, the Model-Based Innovation Prize from Process Systems Enterprise and the Best Referee Award from the Journal of Process Control. His research interests include the dynamics, optimization and control of process and energy systems, areas in which he has co-authored one book, three book chapters and over 90 peer-reviewed journal and conference articles. Learn more.

Inês Azevedo – Carnegie Mellon University, Department of Engineering of Public Policy

Inês Azevedo is a Professor in the Department of Engineering and Public Policy at Carnegie Mellon University. Dr. Azevedo’s research interests lie at the intersection of environmental, technical, and economic issues, such as how to address the challenge of climate change and to move towards a more sustainable energy system. She tackles complex problems in which traditional engineering plays an important role but cannot provide a complete answer. In particular, she has been looking at how energy systems are likely to be shaped in the future, which requires comprehensive knowledge not only of the technologies that can address future energy needs but also of the decision-making process followed by different agents in the economy. Dr. Azevedo has also been working on assessing how specific policies will shape future energy systems, especially in a carbon-constrained world. Learn more.

Zico Kolter – Carnegie Mellon University, Department of Computer Science

Zico Kolter is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, with appointments in the Computer Science Department, the Institute for Software Research (in the Societal Computing program), and affiliated appointments with the Machine Learning Department, the Robotics Institute, and the Electrical and Computer Engineering Department. His work focuses on machine learning and optimization, with a specific focus on applications in smart energy systems. He has worked on fast optimization algorithms for a number of problems and for general convex programs, large-scale probabilistic modeling, stochastic optimization, and reactive machine learning algorithms. On the application side, he has worked on energy disaggregation, probabilistic forecasting for energy systems, and model predictive control techniques for industrial control in the electrical grid. Learn more

Duncan Callaway – University of California, Berkeley, Energy & Resources Group

Duncan Callaway is an Associate Professor of Energy and Resources with an affiliate appointment in Electrical Engineering and Computer Science, and a Faculty Scientist at Lawrence Berkeley National Laboratory. He received his Ph.D. from Cornell University and subsequently worked in the energy industry, first at Davis Energy Group and later at PowerLight Corporation. He was a member of the research faculty of the Center for Sustainable Systems at the University of Michigan before joining UC Berkeley. Dr. Callaway’s teaching covers on energy systems with a focus on the electrical grid and energy efficiency. His research group focuses on emerging energy technologies by quantifying their impacts on power system operations and developing control, optimization and data analysis tools to facilitate their integration into power systems. Learn more.

Marta C. González – University of California – Berkeley, Department of Civil and Environmental Engineering

Marta Gonzalez is an Associate Professor of City and Regional Planning in the College of Environment Design at UC Berkeley. Professor González integrates methods of complex systems with statistical physics approaches, computational sciences, geographic information systems and network theory to characterize and model human dynamics. Her current research explores human mobility patterns using mobile phone communication, propagation of mobile phone viruses and urban transportation models. Her work also addresses the analysis of networks’ organization in relation to their attributes in social systems and spreading dynamics. Learn more.

June Flora – Stanford University, Human Sciences & Technologies Advanced Research Institute

June A. Flora, Ph.D., is a senior research scientist at Stanford University’s Human Sciences and Technologies Advanced Research Institute (HSTAR) and Solutions Science Lab in the Department of Pediatrics. Her research focuses on understanding the drivers of human behavior change and the potential of communication interventions. Her research is solution-focused on issues of climate change and energy reduction by means of behavior change. Most recently, she is investigating the potential of children and youth-delivered energy reduction interventions to motivate parent behavior change, and the effects of entertainment-education interventions to change behavior. Dr. Flora earned her Ph.D. from Arizona State University in Educational Psychology in 1976. She has held faculty positions at University of Utah and Stanford University. Learn more.

Richard Clark Stedman – Cornell University, College of Agriculture and Life Sciences

Richard Clark Stedman is a faculty member in resource policy and management. Richard’s teaching, outreach, and research focus on the interaction between social and ecological systems. His training is in sociology, and he uses the theories and methodologies of this discipline as a lens for examining a broad array of human/environment conflicts. He is particularly interested in the challenges that rapid social and ecological changes pose for the sustainability of forested ecosystems, watersheds, and human communities. Learn more.

Joshua D. Rhodes – The University of Texas at Austin, Webber Energy Group


Joshua D. Rhodes, Ph.D. is a Research Fellow at the Energy Institute and the Webber Energy Group at the University of Texas at Austin. His current research is in the area of smart grid and the bulk electricity system, including spatial system-level applications and impacts of energy efficiency, resource planning, distributed generation, and storage. He is also interested in policy and the impacts that good policy can have on the efficiency of the micro and macro economy, especially policy that utilizes market forces to increase efficiencies. He consults on a broad range of energy topics as well as vetting for novel technologies — often sitting on vetting committees for companies looking to enter Austin’s technology incubators. He holds a double bachelors in Mathematics and Economics from Stephen F. Austin State University, a masters in Computational Mathematics from Texas A&M University, a masters in Architectural Engineering from The University of Texas at Austin and a Ph.D. in Civil Engineering from The University of Texas at Austin. He enjoys mountain biking, rock climbing, and living it up in ATX. Learn more.