Stanford University
Showing 18,361-18,380 of 36,179 Results
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Andrei Linde
Humanities and Sciences Professor, Emeritus
BioWhat is the origin and the global structure of the universe?
For a long time, scientists believed that our universe was born in the big bang, as an expanding ball of fire. This scenario dramatically changed during the last 35 years. Now we think that initially the universe was rapidly inflating, being in an unstable energetic vacuum-like state. It became hot only later, when this vacuum-like state decayed. Quantum fluctuations produced during inflation are responsible for galaxy formation. In some places, these quantum fluctuations are so large that they can produce new rapidly expanding parts of the universe. This process makes the universe immortal and transforms it into a multiverse, a huge fractal consisting of many exponentially large parts with different laws of low-energy physics operating in each of them.
Professor Linde is one of the authors of inflationary theory and of the theory of an eternal inflationary multiverse. His work emphasizes the cosmological implications of string theory and supergravity.
Current areas of focus:
- Construction of realistic models of inflation based on supergravity and string theory
- Investigation of conceptual issues related to the theory of inflationary multiverse -
Brian Linde, MD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Linde is a double board-certified, fellowship-trained internal medicine doctor with the Department of Medicine, Division of Primary Care & Population Health at Stanford University School of Medicine. He is board certified in both internal medicine and occupational and environmental medicine. He is fellowship trained in occupational and environmental medicine.
Dr. Linde specializes in preventing, managing, and treating work-related injuries and diseases. He uses his expertise to improve the physical and mental wellness of his patients while reducing their exposure to occupational and environmental hazards. As a public health expert, Dr. Linde also focuses on enhancing the health of entire populations through strategies and policies that benefit communities as a whole.
His academic interests include inhalational exposures and occupational lung diseases. During the COVID-19 pandemic, Dr. Linde studied how to increase adherence to infection prevention recommendations in clinical settings. He has also worked on guidance related to exposure to per- and polyfluoroalkyl substances (PFAS). These chemicals, which are found in water, food, and fabrics, are an ongoing public health concern. Dr. Linde has also researched how to improve the mental and physical health of medical students and ways to prevent physician burnout.
Dr. Linde has published in many peer-reviewed journals, including Current Opinion in Pulmonary Medicine and Academic Medicine. As a member of the Committee on the Guidance on PFAS Testing and Health Outcomes, Dr. Linde contributed to Guidance on PFAS Exposure, Testing, and Clinical Follow-Up, a publication of the National Academies of Sciences, Engineering, and Medicine. He was also a reviewer for Archives of Environmental & Occupational Health and the American Journal of Industrial Medicine.
He has written book chapters for Modern Occupational Diseases: Diagnosis, Epidemiology, Management and Prevention and Patty’s Industrial Hygiene. He wrote about preventing occupational and environmental pulmonary disorders for the Merck Manuals Professional Edition. Dr. Linde has been invited to speak at workshops and presentations all over the nation about a range of topics, including environmental health risks in underserved communities and the health effects of floods.
Dr. Linde is a member of the American Board of Internal Medicine and the American Board of Preventive Medicine. He is also a member of the American College of Physicians and the American College of Occupational and Environmental Medicine. -
Aaron Lindenberg
Professor of Materials Science and Engineering and of Photon Science
BioLindenberg's research is focused on visualizing the ultrafast dynamics and atomic-scale structure of materials on femtosecond and picosecond time-scales. X-ray and electron scattering and spectroscopic techniques are combined with ultrafast optical techniques to provide a new way of taking snapshots of materials in motion. Current research is focused on the dynamics of phase transitions, ultrafast properties of nanoscale materials, and charge transport, with a focus on materials for information storage technologies, energy-related materials, and nanoscale optoelectronic devices.
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Christian Linder
Professor of Civil and Environmental Engineering
BioChristian Linder is a Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering. Through the development of novel and efficient in-house computational methods based on a sound mathematical foundation, the research goal of the Computational Mechanics of Materials (CM2) Lab at Stanford University, led by Dr. Linder, is to understand micromechanically originated multi-scale and multi-physics mechanisms in solid materials undergoing large deformations and fracture. Applications include sustainable energy storage materials, flexible electronics, and granular materials.
Dr. Linder received his Ph.D. in Civil and Environmental Engineering from UC Berkeley, an MA in Mathematics from UC Berkeley, an M.Sc. in Computational Mechanics from the University of Stuttgart, and a Dipl.-Ing. degree in Civil Engineering from TU Graz. Before joining Stanford in 2013 he was a Junior-Professor of Micromechanics of Materials at the Applied Mechanics Institute of Stuttgart University where he also obtained his Habilitation in Mechanics. Notable honors include a Fulbright scholarship, the 2013 Richard-von-Mises Prize, the 2016 ICCM International Computational Method Young Investigator Award, the 2016 NSF CAREER Award, and the 2019 Presidential Early Career Award for Scientists and Engineers (PECASE). -
Scott W Linderman
Assistant Professor of Statistics
BioScott is an Assistant Professor of Statistics and, by courtesy, Electrical Engineering and Computer Science at Stanford University. He is also an Institute Scholar in the Wu Tsai Neurosciences Institute and a member of Stanford Bio-X and the Stanford AI Lab. His lab works at the intersection of machine learning and computational neuroscience, developing statistical methods to analyze large scale neural data. Previously, Scott was a postdoctoral fellow with Liam Paninski and David Blei at Columbia University, and he completed his PhD in Computer Science at Harvard University with Ryan Adams and Leslie Valiant. He obtained his undergraduate degree in Electrical and Computer Engineering from Cornell University and spent three years as a software engineer at Microsoft before graduate school.
