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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Our editorial standards are built on an unwavering commitment to accuracy, independence, and integrity: every piece of content is rigorously fact-checked against primary sources, subjected to multiple layers of editorial review, and held to the highest standards of clarity, fairness, and transparency, ensuring that readers receive trustworthy, well-reasoned information free from bias, conflicts of interest, or sensationalism.
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Recent articles by Savannah Jenkins
- 2026 Benchmark: 18% Carbon Cut via Multi-Objective Generative Design August 20, 2026
- SIMP Topology & 28% Reduction: Heydar Aliyev Center Data Limits August 18, 2026
- August 17, 2026
- Harrison PATH Redesign: 15% Transfer Cut, Rent Premium as Capital August 15, 2026
- 3D-Scan Cost Model Reveals 23% Discrepancy Over Bid Quantities August 13, 2026
- Seedamm Plaza 2025: Traffic-to-Rent Conversion via 42 Beacons August 12, 2026
- Blending Art and Architecture: A Practical Guide for Modern Designers August 11, 2026
- FAR Recovery Algorithm: How to Reduce NYC Massing Waste August 10, 2026