Stanford University
Showing 1,851-1,900 of 6,597 Results
-
Martin Jose Gonzalez
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioA PhD student in Management Science & Engineering, Martin researches the impact of AI on organizations through the Center for Work, Technology and Organization.
With master's degrees from Columbia and the London School of Economics, Martin frequently lectures at top-tier institutions including Stanford, Wharton, and INSEAD. His professional background includes roles at BCG and Google, where he focused on organizational design, cultural transformation, and leadership development. -
Stuart Goodman, MD, PhD
The Robert L. and Mary Ellenburg Professor of Surgery and Professor, by courtesy, of Bioengineering
Current Research and Scholarly InterestsAs an academic orthopaedic surgeon, my interests center on adult reconstructive surgery, arthritis surgery, joint replacement, biomaterials, biocompatibility, tissue engineering, mesenchymal stem cells. Collaborative clinical, applied and basic research studies are ongoing.
-
Kenneth Goodson
Vice Provost for Graduate Education and Postdoctoral Affairs, Davies Family Provostial Professor, and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsProf. Goodson’s Nanoheat Lab studies heat transfer in electronic nanostructures, microfluidic heat sinks, and packaging, focussing on basic transport physics and practical impact for industry. We work closely with companies on novel cooling and packaging strategies for power devices, portables, ASICs, & data centers. At present, sponsors and collaborators include ARPA-E, the NSF POETS Center, SRC ASCENT, Google, Intel, Toyota, Ford, among others.
-
Jeff Gordon
Senior Associate Director of Corporate Relations, School of Engineering - External Relations
Current Role at StanfordJeff Gordon is the Senior Associate Director of Corporate Relations in Stanford’s School of Engineering. In this role he works with faculty and colleagues to advance the School's corporate partnership programs, build long-term relationships with companies, and increase the flow of industry support to the School through gifts, affiliate memberships, and sponsored research. He assists with the formation and growth of industrial affiliate programs that provide companies a portal for connecting with Stanford's research community in areas of shared interests.He serves on Advisory Board of many of Stanford's largest clubs and project-based student groups. Prior to joining Stanford Engineering he served as Senior Director of Program Development and External Partnerships at the San Jose State University Research Foundation where he facilitated increased support to San Jose State’s research and academic programs across multiple academic disciplines. He also held strategy, business development, marketing and sales positions during a successful career in the telecommunications sector. Prior career experience includes serving as Pacific Bell Sales Vice President and Director of Broadband Services, Strategy and Product Marketing He as been consultant to many tech-based entrepreneurial ventures and served as Director of Industry Relations for Silicon Valley start-up IPWireless. He has also provided business/market development and strategic consulting services to private and public sector, as well as non-profit clients. He holds a Bachelors Degree in Political Science from San Diego State University, and M.A. in Public Policy Analysis from Claremont Graduate University. He also was a Coro Public Affairs Leadership Fellow.
-
Catherine Gorle
Associate Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsGorle's research focuses on the development of predictive flow simulations to support the design of sustainable buildings and cities. Specific topics of interest are the coupling of large- and small-scale models and experiments to quantify uncertainties related to the variability of boundary conditions, the development of uncertainty quantification methods for low-fidelity models using high-fidelity data, and the use of field measurements to validate and improve computational predictions.
