This site is a place for documenting research initiatives by Rachelle Villalon at MIT, exploring and inventing technologies for the built environment.

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PhD dissertation A.I. pipeline and software deliverables

Master's Thesis (Reasonable Computing for Architectural Fabrication, 2008)

How To Make (Almost) Anything

The Nature of Mathematical Modeling

Mobile computing with georeferencing and computer vision

Shadow Coding - Boston Hubweek, public art-tech installation in collaboration with a filmmaker

Solar Energy Generation in 3-dimensions

Teaching A.I. about design, architecture, and fabrication

LinkedIn

My Github

 

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Rachelle Villalon received her Ph.D. in Computation at MIT in 2017, where she was a Presidential Fellow. She received a SM degree in Computation at MIT in 2008, and received a B.Arch from Woodbury University in Los Angeles. She is the inventor of Hosta Labs' patent-pending AI solution and co-founder of Hosta Labs.

While at MIT, she was also involved with technical consulting and entrepreneurship. Her work has been published and presented internationally at various architecture and computer science/science conferences and journals.

Rachelle has experience working in start-up and corporate environments in the cyber security, robotics (iRobot), and creative 3d modeling industries. Prior to MIT, she was consulting at Gehry Technologies (architect, Frank Gehry's technology firm) and was the Digital Technology Manager at CO Architects, where she helped problem solve, manage stakeholders, and create customized product solutions in architecture & information technology.

She has instructed on Computer Numerical Controlled machines as a Teaching Assistant, research plasma jet machining, as well as develop design software for digital fabrication at MIT. She was the award recipient of the American Institute of Architects - American Architects Foundation, Woodbury University "Grand Critique" prize for outstanding cumulative works in architecture, and recipient of the Thesis Prize. Rachelle's research focuses on applied machine learning, computer vision, and data analysis for architecture/engineering/construction.

Contact: rvill@mit.edu