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
- Hospital Window Shade Design: 55% vs 22% Open-Weave Pick for Queensland September 27, 2026
- Irish Hunger Memorial Remodel: 33% vs 12.5% Slope Fail in 2026 September 24, 2026
- Museum Daylight Performance: Bloch 165,000 Sq Ft Lux vs Load September 21, 2026
- September 18, 2026
- Hotel Daylight Design: 54-58% Spatial Daylight Autonomy (sDA) Is Not Rovinj Target September 15, 2026
- Podium Housing Design Tools: TestFit to Autodesk Forma Split 85% in 2026 September 12, 2026
- Museum Daylight Design 2026: Bloch 200 Lux vs Generative Redesign September 9, 2026
- Chicago Logan Arts Center: 474-Seat Hall vs 150-Person Cutoff 2026 September 6, 2026