Stanford University


Showing 71-80 of 135 Results

  • Andrea Goldsmith

    Andrea Goldsmith

    Stephen Harris Professor in the School of Engineering, Emerita

    BioAndrea Goldsmith is the Dean of Engineering and Applied Science and the Arthur LeGrand Doty Professor of Electrical and Computer Engineering at Princeton University. She was previously the Stephen Harris Professor of Engineering and Professor of Electrical Engineering at Stanford University, where she is now Harris Professor Emerita. Her research interests are in information theory, communication theory, and signal processing, and their application to wireless communications, interconnected systems, and biomedical devices. She founded and served as Chief Technical Officer of Plume WiFi (formerly Accelera, Inc.) and of Quantenna (QTNA), Inc, and she serves on the Board of Directors for Intel (INTC), Medtronic (MDT), Crown Castle Inc (CCI), and the Marconi Society. She also serves on the Presidential Council of Advisors on Science and Technology (PCAST). Dr. Goldsmith is a member of the National Academy of Engineering, the Royal Academy of Engineering, and the American Academy of Arts and Sciences. She is a Fellow of the IEEE and has received several awards for her work, including the Marconi Prize, the ACM Sigmobile Outstanding Contribution Award, the IEEE Sumner Technical Field Award, the ACM Athena Lecturer Award, the ComSoc Armstrong Technical Achievement Award, the Kirchmayer Graduate Teaching Award, the WICE Mentoring Award, and the Silicon Valley/San Jose Business Journal’s Women of Influence Award. She is author of the book ``Wireless Communications'' and co-author of the books ``MIMO Wireless Communications,” “Principles of Cognitive Radio,” and “Machine Learning and Wireless Communications,” all published by Cambridge University Press, as well as an inventor on 29 patents. She received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from U.C. Berkeley.

    Dr. Goldsmith is the founding Chair of the IEEE Board of Directors Committee on Diversity and Inclusion. She served as President of the IEEE Information Theory Society in 2009, as founding Chair of its Student Committee, and as founding Editor-in-Chief of the IEEE Journal on Selected Areas in Information Theory. She has also served on the Board of Governors for both the IEEE Information Theory and Communications Societies. At Stanford she served as Chair of Stanford’s Faculty Senate and for multiple terms as a Senator, and on its Academic Council Advisory Board, Budget Group, Committee on Research, Planning and Policy Board, Commissions on Graduate and on Undergraduate Education, Faculty Women’s Forum Steering Committee, and Task Force on Women and Leadership.

  • Judith L. Goldstein

    Judith L. Goldstein

    Janet M. Peck Professor of International Communication, Professor of Political Science and Senior Fellow at the Stanford Institute for Economic Policy Research

    BioJudith L. Goldstein is the Janet M. Peck Professor of International Communication and the Kaye University Fellow in Undergraduate Education. Her research focuses on international political economy, with a focus on trade politics. She has written and/or edited six book including Ideas, Interests and American Trade Policy and more recently The Evolution of the Trade Regime: Politics, Law and Economics of the GATT and the WTO. Her articles have appeared in numerous journals.

    Her current research focuses on the political requisites for trade liberalization focusing both on tariff bargaining and public preferences. As well, she is engaged in the analysis of a large survey panel, which focuses on how economic hard times influences public opinion.

    Goldstein has a BA from the University of California Berkeley, a Masters degree from Columbia University and a Ph.D. from UCLA.

  • Mary Kane Goldstein

    Mary Kane Goldstein

    Professor of Health Policy, Emerita

    Current Research and Scholarly InterestsHealth services research in primary care and geriatrics: developing, implementing, and evaluating methods for clinical quality improvement. Current work includes applying health information technology to quality improvement through clinical decision support (CDS) integrated with electronic health records; encoding clinical knowledge into computable formats in automated knowledge bases; natural language processing of free text in electronic health records; analyzing multiple comorbidities

  • Andrea Goldstein-Piekarski

    Andrea Goldstein-Piekarski

    Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)

    BioDr. Goldstein-Piekarski directs the Computational Psychiatry, Neuroscience, and Sleep Laboratory (CoPsyN Sleep Lab) as an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and PI within the Sierra-Pacific Mental Illness Research, Education and Clinical Center (MIRECC) at the Palo Alto VA. She received her PhD in 2014 at the University of California, Berkeley where she studied the consequences of sleep on emotional brain function. She then completed a Postdoctoral fellowship at Stanford focusing on understanding the brain basis of anxiety and depression.

    As the director of the CoPsyN Sleep Lab she is developing a translational, interdisciplinary research program that combines human neuroimaging, high-density EEG sleep recording, and computational modeling to understand the neural mechanisms through which sleep disruption contributes to affective disorders, particularly depression, across the lifespan. The ultimate goals of this research are to (1) develop mechanistically-informed interventions that directly target aspects of sleep and brain function to prevent and treat affective disorders and (2) identify novel biomarkers which can identify which individuals are most likely to experience improved mood following targeted sleep interventions.

    This work is currently supported by The KLS Foundation, a R01 from National Institute of Mental Health, and a R61 from the National Institute of Mental Health.

  • Natalia Gomez-Ospina

    Natalia Gomez-Ospina

    Assistant Professor of Pediatrics (Genetics)

    Current Research and Scholarly InterestsDr. Gomez-Ospina is a physician scientist and medical geneticist with a strong interest in the diagnosis and management of genetic diseases.

    1) Lysosomal storage diseases:
    Her research program is on developing better therapies for a large class of neurodegenerative diseases in children known as lysosomal storage disorders. Her current focus is on developing genome editing of hematopoietic stem cells as a therapeutic approach for these diseases beginning with Mucopolysaccharidosis type 1 and Gaucher disease. She established a genetic approach where therapeutic proteins can be targeted to a single well-characterized place in the genome known as a safe harbor. This approach constitutes a flexible, “one size fits all” approach that is independent of specific genes and mutations. This strategy, in which the hematopoietic system is commandeered to express and deliver therapeutic proteins to the brain can potentially change the current approaches to treating childhood neurodegenerative diseases and pave the way for alternative therapies for adult neurodegenerative disorders such as Alzheimer’s and Parkinson’s disease


    2) Point of care ammonia testing
    She also works in collaboration with other researchers at Stanford to develop point-of-care testing for serum ammonia levels. Such device will greatly improve the quality of life of children and families with metabolic disorders with hyperammonemia.

    3) Gene discovery
    Dr Gomez-Ospina lead a multi-institutional collaboration resulting in the discovery of a novel genetic cause of neonatal and infantile cholestatic liver disease. She collaborated in the description of two novel neurologic syndromes caused by mutations in DYRK1 and CHD4.


    For more information go to our website:

    https://www.gomezospina.com/

  • Alexander Gonzalez

    Alexander Gonzalez

    Scientific Project Manager

    Current Role at StanfordScientific Project Manager for the Wu Tsai Human Performance Alliance

  • Benjamin Good

    Benjamin Good

    Assistant Professor of Applied Physics and, by courtesy, of Biology

    BioBenjamin Good is a theoretical biophysicist with a background in experimental evolution and population genetics. He is interested in the short-term evolutionary dynamics that emerge in rapidly evolving microbial populations like the gut microbiome. Technological advances are revolutionizing our ability to peer into these evolving ecosystems, providing us with an increasingly detailed catalog of their component species, genes, and pathways. Yet a vast gap still remains in understanding the population-level processes that control their emergent structure and function. Our group uses tools from statistical physics, population genetics, and computational biology to understand how microscopic growth processes and genome dynamics at the single cell level give rise to the collective behaviors that can be observed at the population level. Projects range from basic theoretical investigations of non-equilibrium processes in microbial evolution and ecology, to the development of new computational tools for measuring these processes in situ in both natural and experimental microbial communities. Through these specific examples, we seek to uncover unifying theoretical principles that could help us understand, forecast, and eventually control the ecological and evolutionary dynamics that take place in these diverse scenarios.

  • Zinaida Good, Ph.D.

    Zinaida Good, Ph.D.

    Assistant Professor of Medicine (Immunology and Rheumatology)

    Current Research and Scholarly InterestsOur laboratory integrates cutting-edge synthetic biology, immunology, and machine learning to engineer T cell therapies for cancer and autoimmune diseases. We have 3 research areas:
    - Analysis of clinical single-cell and spatial transcriptomics datasets from T cell therapy trials to identify mechanisms of resistance
    - Building AI systems to generate T cell designs predicted to improve patient outcomes
    - Genetic screens of novel T cell designs in models that mimic key mechanisms of resistance