• Headshot portrait of Charlotte Poplawski - Bio-X Undergraduate Fellow

    Charlotte Poplawski - Bio-X Undergraduate Fellow

    2012 Undergraduate Summer Research Program Participant
    Home Department: Chemical Engineering
    Supported by: The Rose Hills Foundation and Bio-X
    Mentor: Alex Dunn, Assistant Professor of Chemical Engineering
  • Headshot portrait of Charlotte Brannon - Bio-X Travel Awardee

    Charlotte Brannon - Bio-X Travel Awardee

    Awarded in 2024

    Home Department: Biology
    Faculty Advisor: Manu Prakash
    Talk Title: Active origami in epithelial sheets: Information bottlenecks in ciliary flocking enable unfolding behavior in aneural animal Trichoplax adhaerens
    Event: ASCB Cell Bio 2024

  • Headshot portrait of Charles Lang - Bio-X Travel Awardee

    Charles Lang - Bio-X Travel Awardee

    Awarded in 2024

    Home Department: Molecular & Cellular Physiology
    Faculty Advisor: Lucy O'Brien
    Talk Title: Oligomerization and feedback on membrane recruitment stabilize PAR-3 asymmetries in C. elegans zygotes
    Event: The Allied Genetics Conference 2024

  • Indoor headshot photo of a white male faculty member, Dr. Charles Gawad, Associate Professor of Pediatrics at Stanford University.

    Charles Gawad - Associate Professor of Pediatrics (Hematology & Oncology)

    Bio-X Affiliated Faculty

    Dr. Charles Gawad's lab works at the interface of biotechnology, computational biology, cellular biology, and clinical medicine to develop and apply new tools for characterizing genetic variation across single cells within a tissue with unparalleled sensitivity and accuracy. They are focused on applying these technologies to study cancer clonal evolution while patients are undergoing treatment with the aim of identifying cancer clonotypes that are associated with resistance to specific drugs so as to better understand and predict treatment response.

  • Headshot portrait of Charles (Ruizhongtai) Qi - Bio-X Travel Awardee

    Charles (Ruizhongtai) Qi - Bio-X Travel Awardee

    Awarded in 2017
    Home Department: Electrical Engineering
    Faculty Advisor: Leonidas Guibas
    Talk Title: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
    Event: 2017 Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition

    Awarded in 2016
    Talk Title: Volumetric and Multi-View CNNs for Object Classification on 3D Data
    Event: Conference on Computer Vision and Pattern Recognition (CVPR) 2016

    Awarded in 2015
    Talk Title: Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
    Event: International Conference on Computer Vision (ICCV) 2015

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