automation

ROBOTICS + COMPUTER VISION & ML+ COMPUTATIONAL DESIGN

I build algorithms, simulations, and robotic workflows that turn design intent into automated, testable systems — from physics‑informed fabrication to computer vision pipelines.

About Beikel→

bridging robotics + design

My work lives at the intersection of Robotics/Machine Learning and Computational Design.

Content

My work can be broken down into three main areas:

Robotics
Architecture Portfolio - 2022
Computational design
2021 Kanter Tritsch Prize in Energy and Architectural Innovation
computer vision + ML
  • Robotics

    My robotics research and professional projects explore sensor-driven fabrication, adaptive assembly, and real-time perception.

  • Computational Design

    My computational design work focuses on parametric optimization, simulation-driven workflows, and algorithmic form generation.

  • Computer Vision + Machine Learning

    I design ML pipelines that interpret 3D data and generate actionable geometry for fabrication and design.