I build parametric and computational design models while connecting design intent with construction realities. My background combines a Master of Architecture from Penn State with a summa cum laude B.S. in Computer Science.
At Penn State's Stuckeman School, I developed parametric and algorithmic models for adaptive diagrid structures, using graph-based optimization workflows to compare geometric configurations against performance criteria.
I've reviewed construction drawings and specifications against high-rise residential field conditions, documenting structural, envelope, finish-out, and mechanical rough-in progress. In the Stuckeman Shop, I also advised students on construction techniques, tolerances, joinery, and material selection.
Earlier, at Central State University, I built and evaluated predictive image-classification models on field imagery data and presented research findings publicly. I work with Revit, Rhino, Grasshopper, Karamba3D, Python, SQL, and JavaScript.
