Institution

Stanford University

About Stanford University

Stanford was founded in 1885 by Leland Stanford, former governor of and U.S. Senator from California and leading railroad tycoon, and his wife, Jane Lathrop Stanford, in memory of their only child, Leland Stanford, Jr., who had died of typhoid fever at age 15 the previous year. Stanford was opened on October 1, 1891 as a coeducational and non-denominational institution. Tuition was free until 1920. The university struggled financially after Leland Stanford's 1893 death and after much of the campus was damaged by the 1906 San Francisco earthquake. Following World War II, Provost Frederick Terman supported faculty and graduates' entrepreneurialism to build self-sufficient local industry in what would later be known as Silicon Valley. By 1970, Stanford was home to a linear accelerator, and was one of the original four ARPANET nodes (precursor to the Internet).

Reviewers: 549

7th in the world

Reviews: 5,664

18th in the world

Merit: 17,135

17th in the world

Openness: 1.0

161st in USA

Journal Editors at Stanford University

Reviewers from Stanford University

  • Reviewer

    Edward J. Damrose

    Chief of Staff, Stanford Health Care Associate Professor & Chief, Division of Laryngology Department of Otolaryngology/Head & Neck Surgery Stanford University School of Medicine

  • Reviewer

    Elisabeth M. Bik

    Elisabeth Bik is a Science Editor at uBiome, a company that develops microbiome sequencing analysis kits for consumers and clinicians. She received her PhD at Utrecht University in The Netherlands and worked at the Dutch National Institute for Health and the St. Antonius Hospital in Nieuwegein. In 2001, she joined Stanford University’s School of Medicine, where she worked on the characterization of the human microbiome in thousands of oral, gastric, and intestinal samples. In addition, she analyzed the microbiota of marine mammals, in particular that of dolphins and sea lions. When she is not in the lab, she can be found working on her blog www.microbiomedigest.com, an almost daily compilation of scientific papers in the rapidly growing microbiome field, or on Twitter at @MicrobiomDigest. She is also interested in the detection of plagiarism and image duplications and manipulations in the published biomedical literature, and currently peer reviews 30 to 40 manuscripts per year.

  • Reviewer

    James M. Shine

    I am a post doc in Cognitive Neuroscience working with Russ Poldrack at Stanford University

  • Reviewer

    Benjamin A. Pinsky

    Benjamin Pinsky, M.D., Ph.D., is an Assistant Professor of Pathology and Medicine, in the Division of Infectious Diseases and Geographic Medicine at the Stanford University School of Medicine. He serves as the Medical Director of the Clinical Virology Laboratory for Stanford Health Care and Stanford Children’s Health, as well as the Medical Director for Point of Care Testing at the Surgery Center at the Byers Eye Institute and Stanford Primary Care. Dr. Pinsky earned his M.D. and Ph.D. degrees in the Medical Scientist Training Program at the University of Washington School of Medicine in Seattle. He received residency training in Clinical Pathology and fellowship training in Molecular Genetic Pathology at the Stanford University School of Medicine. Dr. Pinsky’s research interests include the design of novel diagnostics and investigation of the clinical impact of molecular infectious diseases testing.

  • Reviewer

    Biren Prasad

    Brian Prasad is known best for delivering many innovative, efficient and practical knowledge-based engineering (KBE) solutions to product design and development using off-the-self product life-cycle management (PLM) tools (like CATIA or NX) for aerospace & automotive companies. He is a notable architect of knowledge-based lean product development (KLPD) technology/ solutions for doing more with leaner resources. He is author of several books, and the Editor-in-Chief of the most premier Int. Journal of Concurrent Engineering. http://cer.sagepub.com/ Along with outstanding technical skills, he is well-recognized thought leader and an International authority on the subjects of knowledge-based development, Knowledge management & reuse. He has achieved great successes in reengineering company’s life-cycle processes, and concurrently developing lean product development (LPD) solutions for its products; thereby, significantly reducing its (enterprise) development time and costs. He has written books on knowledge-based engineering (KBE), CE & LPD subjects and has published numerous papers in many refereed journals and conferences. http://brianprasad.weebly.com/my-publications.html Most recently, he received the Distinguished Engineering Merit Award from Orange County Engineering Council (OCEC), during the National Engineers’ Week Awards Banquet, held on February 22, 2013. A year before, CATIA Operator Exchange (COE) Forum awarded him with B.J. Fries Award of Merit at the COE conference in April 2012. http://brianprasad.weebly.com/my-awards.html

    Dr. Prasad holds a Ph.D. degree in Mechanical and Aerospace Engineering from Illinois Institute of Technology, Illinois, Chicago. He also graduated from the Stanford University, School of Engineering with a Degree of Engineering in Mechanical Engineering.

  • Reviewer

    Olivier Gevaert

    The Gevaert lab focuses on biomedical data fusion in oncology: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. Previously I pioneered data fusion work using Bayesian and kernel methods studying breast and ovarian cancer. My subsequent work concerned the development of methods for multi-omics data fusion. This resulted in the development of MethylMix, to identify differentially methylation driven genes, and AMARETTO, a computational method to integrate DNA methylation, copy number and gene expression data to identify cancer modules. Additionally, my lab focuses on multi-scale data fusion by linking omics with cellular and tissue-level phenotypes. This led to key contributions in the field of imaging genomics/radiogenomics involving work in lung cancer and brain tumors. Our work in imaging genomics is focused on developing a framework for non-invasive personalized medicine. In summary, my lab has an interdisciplinary focus on developing novel algorithms for multi-scale biomedical data fusion.