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Jonathan Koomey, Ph.D.

Jonathan Koomey is a Research Fellow at the Steyer-Taylor Center for Energy Policy and Finance at Stanford University. He has also held visiting professorships at Yale University (Fall 2009), Stanford University (2003-4 and Fall 2008), and the University of California, Berkeley’s Energy and Resources Group (Fall 2011), and was a Lecturer in Management at Stanford’s Graduate School of Business in Spring 2013. For more than eleven years he led Lawrence Berkeley National Laboratory’s (LBNL’s) End-Use Forecasting group, which analyzes markets for efficient products and technologies for improving the energy and environmental aspects of those products. The group developed recommendations for policymakers at the U.S. Environmental Protection Agency and the U.S. Department of Energy on ways to promote energy efficiency and prevent pollution. Koomey is also a Research Affiliate of the Energy and Resources Group at the University of California, Berkeley, and serves on the Editorial Board of the journal Contemporary Economic Policy. Dr. Koomey holds M.S. and Ph.D. degrees from the Energy and Resources Group at the University of California at Berkeley, and a B.A. in History of Science from Harvard University. He is the author or coauthor of nine books and more than two hundred articles and reports on energy efficiency and supply-side power technologies, energy economics, energy policy, environmental externalities, and global climate change. He has also published extensively on critical thinking skills.

Jonathan is teaching:

Data Center Essentials for Executives: A Beginner's Guide

Jon Koomey wants executives to transform their IT from a cost center to a cost-reducing "profit center." He lectures on the context, concepts and best practices of data centers essentials and provides additional resources.

Why Predictive Modeling is Essential for Managing a Modern Computing Facility

This lecture describes how data center designers and operators can simulate the effects on energy use and reliability of different data center designs, without the time, expense, and business continuity risks of making changes with physical equipment.