Savannah Jenkins
Editor at agustin-otegui.com
Savannah Jenkins is a PhD candidate in Computational Architecture at MIT, where her research focuses on generative design algorithms and AI-driven architectural optimization. She investigates how machine learning can accelerate early-stage building design, from floor plan synthesis to structural performance feedback. Deep experience. Intellectual curiosity.
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Recent articles by Savannah Jenkins
- November 9, 2026
- National Building Museum Great Hall: 8 75-Foot Columns — Structural or Decorative? November 6, 2026
- Equinox West Georgia: Verify the Structural Grid Before You Commit November 3, 2026
- Office Tower Core Layout: 44-Inch Stairs vs 300-Foot Sprinklered Travel October 31, 2026
- Glass House Design 2026: Cap Window-to-Wall Ratio at 40% October 28, 2026
- Building in Stuttgart, Germany: Generative Massing vs. 60% Plot Coverage October 25, 2026
- 2024 IBC 44-Inch Egress Width: Component Checks for Floor Plans October 22, 2026
- Choose 2026 Crowd Flow Threshold: Independence Square 30,000-Person Limit vs Capacity October 19, 2026