I’m Chloe, a researcher seeking ways to change how we design in 3d.
I am currently pursuing a M.S. in Computational Design at Carnegie Mellon University. I most recently worked as intern at Autodesk, have 5+ years experience in architecture design, a solid background in machine learning and 3d geometry, and eagerness to explore the unforeseen.
Research
I am interested in 3d modeling, machine learning, computational geometry, and design tasks. My research is about developing learning models(ML/DL/AI), that have a human design sensibility to augment 3d modeling tasks.
Autodesk Internship : Intelligent 3d comprehension
I developed a pipeline to create a dataset with 3d models and graph structures that have information of their components and geometric relations. I identified a minimal set of operations that are specific to architecture 3d modeling. I was able to shed light on the lack and need of 3d design datasets with human generated information.
︎ 3D Dataset
︎ CAAD Reconstruction, 3D Segmentation task
︎ Computation geometry
Concrete Binder Jetting
We created a novel additive manufacturing pipeline for 3d printing concrete. I developed a computational tool for simulating water migration through heterogeneous particles to be used to fine tune robotic concrete binder jetting system.
︎ Additive manufacturing
︎ Construction prototyping
CubeScaper
I created a constraint based 2.5D world generation game. It involves a set of tiles in the form of cubical 2.5D isometric geometry and the Wave Function Collapse algorithm (WFC) (Gumin,2016) to place tiles according to the tile set’s connectivity rules.
︎ Computation geometry
︎ Generative design