research

The latest population estimates and projections from United Nations point out that cities are the home of 55% of the world’s population, with this proportion expected to increase to 68% by 2050. Urban population growth, accompanied by fast urbanization, has been broadly related to numerous problems like social inequality, lack of housing, climate change, and collective health vulnerabilities, as evidenced recently by the COVID-19 pandemic. Computational design, in turn, has provided a fresh perspective on architects' and planners' roles, potentializing our possibilities of assessing and intervening in the built environment and yielding novel means towards more resilient, sustainable, and socially equitable communities. In this context, my research explores cutting-edge tools and techniques to formulate, evaluate, and optimize design solutions according to different goals and metrics and analyzes data sets to better understand spatial relations and architectural/urban performance attributes. I am also interested in research on the impact of computational design tools in teaching and design processes, as well as contributing to new practical and pedagogical perspectives in this context.

Modeling the impact of urban features on COVID-19 spreading in US cities

urban design optimization

decoding and recoding informal settlements

citymetrics - (para)metric system for urban analysis and optimization

computational design, digital fabrication and architectural teaching

environmental simulations in urban parametric framework

exploring space syntax for urban analysis in juiz de fora, brazil

research + teaching approches video