I have a professional degree in Architecture, specialized in computational design with experience in the industry and the academia. I am currently a M.S. in Design Computation graduate student at the Georgia Institute of Technology. My interest focuses on data-driven methods for architecture and design in general. I have the skills and experience to develop architectural projects at all stages, integrating specialized skills in design scripting, parametric modeling, custom tool, development, and data analytics.
As of February 4, a total of 8400 ha. had been burned, with active fire outbreaks in Valparaíso, Chile. The area of El Olivar was one of the most affected communities, with more than 900 houses devastated. The goal was to design a house proposal for all families in the neighborhood, aligning with their expectations and adjusting to the set of requirements by the construction codes.
The design proposal consisted of a continuous house units improving the existent quality of life significantly. From 32 m2 to 67 m2, a two-storey house will grant three bedroom + 2 bathroom solution for the community. The main assignment for this task was to constantly communicate and showcase the progress to the neighbors.
As a part of the course Healthcare Design of the Future at Georgia Tech, this project is a modular solution addressing the transportation limitations of the rural healthcare system in the US.
A community headquarters project.
A community headquarters project.
A family lost his home due to an unexpected fire. The home owner quickly started the self-construction of her new house completely ignoring the regulations and building code. This project needed to fulfill their specific requirements and adjust the current state of the project to meet all the requirements. With a rectangular site of 8 x 40 m., the challenge was to provide a house solution which could not exceed a certain height under the projection of 60° from the edges of the site towards the center. This limited the dimensions to 3.5 m. width. Additionally, the owner already constructed a 4.5 m. height platform. The design proposal satisfied both her requirements and construction codes completely.
Based on a custom Grasshopper script using EnergyPlus through ClimateStudio, this project is an early design space aiming to explore the energy, daylighting, and glare performance of a small office building.
Based on a custom Grasshopper script using EnergyPlus through ClimateStudio, this project is an early design space aiming to explore the energy, daylighting, and glare performance of a small office building.
The UMCF plugin is a Grasshopper plugin being developed by Gonzalo Vegas, Patrick Kastner, and Marcelo Álvarez. The main purpose of developing visualization components is to leverage the power of a Rhinoceros - Grasshopper environment for the end user.
The project aims to augment the control of the user over the airflow particles as a result of a Computational Fluid Dynamics simulation. The workflow consists of performing a high resolution simulation and developing scripts to manipulate the resulting data. One of the results is a custom web application to visualize the data.
This project is an initial statistical comparison between the urbanMicroclimateFoam solver and ENVI-met. The main goal is to understand the differences between both solvers and calibrate the UMCF solver using Grasshopper.
The project aims to augment the information and geometrical entities from a BIM model. Specifically, a workflow for IFC authoring would allow to perform custom assessments and obtain performance metrics from a BIM model. This workflow integrates Revit and Rhinoceros + Grasshopper platforms as modeling tools, with large IFC 4x3 datasets. By using the IfcOpenShell library with Python, different scripts are developed to query, process, and analyze information directly from the IFC dataset. Additionally, by leveraging the power of graph theory, additional tools to plot graphs are developed to generate a complete understanding of the BIM model quality, and the building performance.
This project is a part of the course Public Health Analyttics at Georgia Tech. The main contribution is the extraction of data from the OSM database, and the development of a custom interpolation method to create a complete geospatial representation of the metro Atlanta distance network.
This implementation focuses on exploring design spaces in early design stages. The proposed technique approaches the problem of reducing the flexibility of the design space while advancing to later design stages for vault-like shapes.
This study is based on the development of a modeling technique for vault-like structure generation through topological manipulation. Currently, topology-driven form-finding has been implemented in tensile structures, but no further studies have been conducted for compression-only structures. The focus of this study is to approach the problem of highly determined vault shapes by their input topology.
