Stanford Woods Institute for the Environment
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Lewis Talbot and Nadine Hearn Shelton Professor of International Legal Studies, Emeritus
BioAn expert in international law and legal institutions, Thomas C. Heller has focused his research on the rule of law, international climate control, global energy use, and the interaction of government and nongovernmental organizations in establishing legal structures in the developing world. He has created innovative courses on the role of law in transitional and developing economies, as well as the comparative study of law in developed economies. He has co-directed the law school’s Rule of Law Program, as well as the Stanford Program in International and Comparative Law. Professor Heller has been a visiting professor at the European University Institute, Catholic University of Louvain, and Hong Kong University, and has served as the deputy director of the Freeman Spogli Institute for International Studies at Stanford University, where he is now a senior fellow.
Professor Heller is also a senior fellow (by courtesy) at the Woods Institute for the Environment. Before joining the Stanford Law School faculty in 1979, he was a professor of law at the University of Wisconsin Law School and an attorney-advisor to the governments of Chile and Colombia.
Professor of Electrical Engineering, Emeritus
BioMartin E. Hellman is Professor Emeritus of Electrical Engineering at Stanford University and is affiliated with the university's Center for International Security and Cooperation (CISAC). His most recent work, "Rethinking National Security," identifies a number of questionable assumptions that are largely taken as axiomatic truths. A key part of that work brings a risk informed framework to a potential failure of nuclear deterrence and then finds surprising ways to reduce the risk. His earlier work included co-inventing public key cryptography, the technology that underlies the secure portion of the Internet. His many honors include election to the National Academy of Engineering and receiving (jointly with his colleague Whit Diffie) the million dollar ACM Turing Award, the top prize in computer science. In 2016, he and his wife of fifty years published "A New Map for Relationships: Creating True Love at Home & Peace on the Planet," providing a “unified field theory” for peace by illuminating the connections between nuclear war, conventional war, interpersonal war, and war within our own psyches.
Senior Associate Dean for Education and Professor of Civil and Environmental Engineering
BioLynn Hildemann's current research areas include the sources and dispersion of airborne particulate matter indoors, and assessment of human exposure to air pollutants.
Prof. Hildemann received BS, MS, and PhD degrees in environmental engineering science from the California Institute of Technology. She is an author on >100 peer-reviewed publications, including two with over 1000 citations each, and another 6 with over 500 citations each. She has been honored with Young Investigator Awards from NSF and ONR, the Kenneth T. Whitby Award from the AAAR (1998), and Stanford's Gores Award for Teaching Excellence (2013); she also was a co-recipient of Atmospheric Environment’s Haagen-Smit Outstanding Paper Award (2001).
She has served on advisory committees for the Bay Area Air Quality Management District and for the California Air Resources Board. She has been an Associate Editor for Environmental Science & Technology, and Aerosol Science and Technology, and has served on the advisory board for the journal Environmental Science & Technology.
At Stanford, Prof. Hildemann has been chair of the Department of Civil & Environmental Engineering, and served as an elected member of the Faculty Senate. She has chaired the School of Engineering Library Committee, the University Committee on Judicial Affairs, and the University Breadth Governance Board.
Director, Administration, Woods Institute
Current Role at StanfordPatti is the Assistant Director, Administration in the Stanford Woods Institute. She handles all human resource and faculty affairs matters, has oversight of executive office operations and support of donor relations and activities including the Stanford Woods Institute Advisory Council.
Prior to joining Woods in 2006, Patti was the Program Manager at American Leadership Forum-Silicon Valley.
Thomas Davies Barrow Professor and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsWell Testing, Optimisation and Geothermal Reservoir Engineering
Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioAlison Hoyt is an Assistant Professor of Earth System Science at Stanford. Her work focuses on understanding how biogeochemical cycles respond to human impacts, with a particular focus on the most vulnerable and least understood carbon stocks in the tropics and the Arctic. For more information, please visit her group website here: https://carboncycle.stanford.edu/
Affiliate, Woods Institute
Visiting Scholar, Woods Institute
BioLily Hsueh is an Associate Professor of Economics and Public Policy in the School of Public Affairs at the Arizona State University (ASU) and a Visiting Scholar in the Woods Institute for the Environment at Stanford University. Her research investigates how different forms and scales of alternative and decentralized governance systems (e.g., market-based policies and voluntary programs) interact and shape the public and private provision of public goods and the management of natural resources and the environment. Questions of interest to Dr. Hsueh include, will decentralized environmental approaches produce real and sizeable impact? If so, by how much? Under what economic and political conditions do they work? How should they be designed? Who (and which groups) stand to gain or lose?
Funders for Dr. Hsueh's work include the National Research Council, National Oceanic and Atmospheric Administration (NOAA), and the V. Kann Rasmussen Foundation. Prior to joining ASU, Dr. Hsueh was a National Research Council Postdoctoral Fellow at NOAA. She holds a Ph.D. in Public Policy & Management from the University of Washington, a MSc in Economics from University College London, and a BA in Economics from UC Berkeley.
At Woods, Dr. Hsueh is currently completing a MIT Press-contracted book in progress, which investigates the demand for, and supply of, global businesses' climate mitigation and adaptation, across sectors and in rich and poor countries. The book draws on large-N statistical analyses and and illustrative company case studies. It examines the multi-faceted factors across levels of governance and government, which motivate some global businesses but not others to engage in proactive climate action.
Director, Institute for Computational and Mathematical Engineering and Professor of Mechanical EngineeringOn Leave from 10/01/2022 To 06/30/2023
Current Research and Scholarly InterestsComputing and data for energy, health and engineering
Challenges in energy sciences, green technology, transportation, and in general, engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Computations barely feasible two decades ago on the largest available supercomputers, have now become routine using turnkey commercial software running on a laptop. Demands on the analysis of new engineering systems are becoming more complex and multidisciplinary in nature, but exascale-ready computers are on the horizon. What will be the next frontier? Can we channel this enormous power into an increased ability to simulate and, ultimately, to predict, design and control? In my opinion two roadblocks loom ahead: the development of credible models for increasingly complex multi-disciplinary engineering applications and the design of algorithms and computational strategies to cope with real-world uncertainty.
My research objective is to pursue concerted innovations in physical modeling, numerical analysis, data fusion, probabilistic methods, optimization and scientific computing to fundamentally change our present approach to engineering simulations relevant to broad areas of fluid mechanics, transport phenomena and energy systems. The key realization is that computational engineering has largely ignored natural variability, lack of knowledge and randomness, targeting an idealized deterministic world. Embracing stochastic scientific computing and data/algorithms fusion will enable us to minimize the impact of uncertainties by designing control and optimization strategies that are robust and adaptive. This goal can only be accomplished by developing innovative computational algorithms and new, physics-based models that explicitly represent the effect of limited knowledge on the quantity of interest.
I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems. The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system requires the analysis of their flow, thermal, and structural characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing in multiphysics settings. Virtual prototyping is a staple of modern engineering practice! I have designed a new undergraduate course as an introduction to Computational Engineering, covering theory and practice across multidisciplanary applications. The emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal/structural problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results.
John P.A. Ioannidis
Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and by courtesy, of Statistics and of Biomedical Data Science
Current Research and Scholarly InterestsMeta-research
Clinical and molecular epidemiology
Human genome epidemiology
Reporting of research
Empirical evaluation of bias in research
Statistical methods and modeling
Meta-analysis and large-scale evidence
Prognosis, predictive, personalized, precision medicine and health
Sociology of science