We have all been there. It is 3:00 AM, the competition deadline is looming, and you are trapped in an endless, soul-crushing loop of exporting from Rhino, tweaking vectors in Illustrator, and heavy post-processing in Photoshop. The repetitive grind of architectural representation can quickly lead to creative burnout. It is time to smash the old … Read more
Quantifying the Opposite of Boredom For decades, architectural design has relied on intuition. Client feedback and peer reviews are inherently subjective, and by the time you can gather real human response data on a facade, the building is already standing. But what if we could predict whether a building will be visually engaging before a … Read more
ML-Driven Plant Placement for Adaptive Architecture BioSpatial Intelligence explores how machine learning can support planting decisions in architectural spaces. The project starts from a simple design question: when we design a building, how can we decide which plants belong to which environmental conditions? Instead of relying only on intuition, we developed a workflow that reads … Read more
A TerraFormed production CONTEXT TerraFormed is an ongoing project developed within Digital Matter Studio 2026 that implements osteomorphic blocks as a standardizable and industry-compatible approach for producing a novel geopolymer material within a sustainable construction framework. DESIGN OBJECTIVES Osteomorphic blocks are primarily governed by the parameters of the sine curve that defines their geometry. This … Read more
Sunburn is a computationally designed urban shading pavilion for Plaça Universitat in Barcelona. The project explores how lightweight canopy structures can improve comfort in public space while creating an inviting social environment. Using parametric column placement, Kangaroo surface generation, Ladybug solar analysis, and Galapagos optimization, the canopy geometry is tested across different sun-hour periods to … Read more
Can we predict what kind of use does a city grid hosts — Commercial vs. Residential — from its built form, morphology, and proximity to other urban features? “Can we predict the land use of a space based on existing environmental information from official and unofficial sources?” What’s the sweet spot for a Machine Learning … Read more
A headset-based AR platform that guides a human assembler through complex joinery step by step, projecting ghost geometry directly onto the physical parts in 3D space. The system closes the feedback loop in real time, reading part placement through the device’s own cameras and advancing the assembly sequence automatically when each joint is correctly seated. … Read more
Abstract This project uses parametric design and multi-objective optimization to develop an interlocking masonry brick. A Grasshopper workflow generated brick geometries by varying sinusoidal width, depth, and cavity parameters. The designs were evaluated using structural and geometric performance criteria, including load transfer, web thickness, horizontal area, volume, and interlocking capacity. An evolutionary optimization process identified … Read more
Agriculture is not simply another economic sector. It is the foundation of food security, livelihoods and social stability. Yet in many conflict zones, agricultural landscapes are systematically damaged through bombardment, infrastructure collapse, restricted access to farmland, and disruption of water systems. While urban destruction is often visible and extensively documented, the destruction of food-producing landscapes … Read more
Reciprocal Frames Reciprocal frames are self-supporting 3D structures. They consist of three or more sloping beams arranged in a closed circuit. Each beam rests on the preceding one and supports the next, creating a completely interdependent grid. This design eliminates the need for a central pillar or column. Traditionally these frames were made of wood, … Read more
We identified the main problems while producing the roof of our Digital Matter studio, where we are making a system of bendable cork panels with jute and caesin, for that we needed molds to bend the panel according to curvature, To optimise the mold and reduce waste we used galapogos to define the bounding box … Read more
Abstract Morphologies of Shade explores the design of a computationally optimized pavilion for the rooftop of the Institute for Advanced Architecture of Catalonia (IAAC) in Barcelona. The project responds to the environmental challenges of excessive solar exposure and strong wind conditions that limit the usability of the rooftop throughout the day. Inspired by natural canopy … Read more
Using climate clustering, vernacular precedent research, and evolutionary optimisation to create climate-responsive design typologies when no established local precedent exists Overview Lovingly named after the very first test location, Project Michigan is a tool that provides climate-responsive design guidelines when no local vernacular precedent exists. Through scraping climate data and global vernacular information, it helps … Read more
At what and whose cost does India’s solar transition operate? Mapping the unseen costs of solar expansion across resource-scarce landscapes and vulnerable populations. India has seen an accelerated transition toward renewable energy, starting on 2010 and today the solar farms represent an extension of aprox 3,156 square kilometres of panels, and infrastructure. Vast landscapes are … Read more
