Biayna Bogosian


Ph.D. Candidate, USC School of Cinematic Arts MsAAD, Columbia University B.Arch, Woodbury University

Biayna Bogosian is an architect and a computational designer interested in highly localized materialization processes that respond to data patterns. Focusing on the topics of geometric complexity, performance feedback and fabrication economy, she is researching various physical and non-physical input parameters as a way of adding information resolution to different forms of physical outputs. Biayna is a PhD candidate in the Division of Media Arts + Practice in the School of Cinematic Arts at the University of Southern California. She holds a Master of Science in Advanced Architectural Design from Columbia University and a Bachelor of Architecture from Woodbury University. Biayna is a founding partner of Los Angeles based studio Somewhere Something focused on data driven virtual and built environments. The office sees human activity and behavior as an integrated part of the design process realized by advanced fabrication techniques. Since 2011, Biayna has taught digital media seminars and design studios at USC School of Architecture, Columbia University GSAPP, Woodbury University, Tongji University.

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Currently Teaching
  • 410
    Computer Transformations (Essential Digital Design Techniques)
    Computer Transformations (Essential Digital Design Techniques)
    Course Objectives: integrating digital operational strategies into a design method. Commanding the ability to fluidly navigate through a vast array of virtual applications, design media, and digital fabrication technologies, affords incredible potential to develop, test, produce and communicate both spatial ideas and their corresponding physical components with great clarity. This course is designed to provide a fundamental introduction to three-dimensional digital modeling for architectural representation and fabrication using Rhinoceros 3d - a NURBS surface modeling program. We will intensively focus on a specific region within this array: design strategies / techniques used by contemporary architects as a way to organize and test operational strategies used in digital design process through the use of complex NURBS constructs developed, and refined in digital tools introduced in this course
  • 607
    Advanced Computation
    Advanced Computation

    This course stems from the assumption that architects should not only be able to use various tools, but should have the ability to create new critical and experimental design tools that respond to specific design-questions. In this course, we will aim at the generation of design-question oriented customized digital workflows. These customized workflows will explore the potential of breaking down a design problem into several questions in order to approach architectural and urban research through a bottom-up method. This technique will allow us to experiment with converging varied inter-operational platforms in order to develop custom toolsets for each proposed design question. The process of workflow customization will amplify our ability to explore options and achieve depth and speed of analysis. In this course we will use Rhino/Grasshopper as meta-tools which enable the creation of other tools.  

    However, the course is not about software itself, but about experimental design processes. Using a series of custom scripts, techniques and workflows, Rhino/Grasshopper will be used to create new interfaces that disappear and become part of the Rhino environment or even part of the physical world. External input devices (cameras and sensors) will be used to create new relationships with 3d modeling, data will become incorporated into new forms of tools, and representation will be explored as a way to design the behavior of the user. Technology will not be used as calculators, but as augmentations of the designer that alters their design process.

    The point of the course is to develop computational design thinking in order to acquire a critical lens for the evaluation of digital tools. Through a closer look at the relationship between computational design theories and methods, we will engage in an experimental feedback loop where new ideas can generate new design techniques, and new design techniques can thus generate new ideas.

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