Course Content
11 Lessons
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This workshop teaches data-driven automation and generative design using Grasshopper to streamline architectural workflows.
2 courses5.0
This workshop offers a deep dive into data-driven processes and algorithmic thinking like automation and generative design, allowing architects and engineers to work more creatively, efficiently, and accurately.
We all encounter a series of repetitive tasks at some point in a project's journey, often across multiple projects. Mastering computational design begins with a clear understanding of data structures. This workshop will help you understand this through scripting for mini-projects like pavilion design and generative art animations.
Learn how to batch export PDFs from Grasshopper. Participants will learn how to build their own custom tools and build logic networks to automate almost anything.
Tree Structures: Understanding and manipulating data using trees with real-world applications.
Lists and Patterns: Advanced data manipulation and generation.
Build your own custom tools that can be called on the Grasshopper canvas like any other tool.
Layer structure management and visualization using Elefront and HumanUI plugins.
PDF export automation.
Batch baking and animation.
This workshop isn’t just about learning Grasshopper—it’s about building smarter workflows that help you overcome common roadblocks in computational design. We will build 2 projects, a tower and a pavilion, with the objective of learning concepts related to data structures and layer management besides generative design. We will use HumanUI and Elefront for this.
This workshop will explore methods that can be adapted to different challenges, giving you the tools to automate and optimize your own processes. Exporting PDFs, 100 percent from Grasshopper, will be a helpful workflow that we will cover along the way. To eliminate repetitive tasks, we will learn how to build ghuser components and a custom toolbar and drop them onto the canvas like any other component. A quick 5-10-minute AI rendering workflow will help you generate quality iterations systematically.
This workshop is interactive, hands-on, and practical. Covering:
In this workshop you’ll get to apply what you learn. By the end of the workshop, you’ll have a project that integrates key concepts, plus time for troubleshooting and refinement, so you walk away with solid working scripts.
To tie it all together, Aditya will share a Branch Technology facade project that showcases automation in action. You’ll also get a behind-the-scenes look at their production process through a short digital tour, showing how these ideas translate into real-world fabrication.
Course Content
Aditya Jain is an Architect, Computational Designer, and Generative Artist, passionate about using algorithmic methods and digital fabrication technologies to address various social, cultural, and environmental issues. His work focuses on combining innovation with sustainable design practices, particularly through the use of 3D printing and logic-based design techniques.
Aditya earned his MS in Architecture: Design Computation from Georgia Tech, where he developed his skills in automating tasks, optimizing workflows, and analyzing building systems within the AEC industry. His research at Georgia Tech explored the integration of computational design approaches with rural architecture and additive manufacturing (ceramics). As a Graduate Teaching Assistant, Aditya helped guide students in digital design, fostering both technical proficiency and creative thinking.
Currently, Aditya is a Digital Design Specialist at Branch Technology, where he specializes in advancing design automation and developing innovative solutions that streamline processes involving robotic fabrication and digital manufacturing. Before Branch, he worked as an Associate Architect and Designer at NUDES in Mumbai. There, he contributed to a variety of projects, including the Bookworm Pavilion, Cardboard Cafe, and the Ismaili Jamatkhana, as well as some winning competition entries and research initiatives. His approach to design emphasized bottom-up construction processes and scalability, with a strong commitment to sustainability.
He has also tutored and mentored on several educational platforms, inspiring the next generation of designers in computational design and generative art. Aditya's career has been defined by a continuous focus on innovation, creating both digital and physical projects using advanced design and fabrication techniques.
It was a interesting workshop but sometimes too difficult for a starter with parametric design
Great stuff!
It was okay. Expected a step by step explanation by the Aditya I bought this seeing a picture of Nudes water conservation tower picture expecting Aditya to explain the workfow behind such intricate geometries.
Great Course!