We concluded our final reviews for Generative Machine Learning for Architecture. Check out the videos below….

I’ve been continuting my collaboration with a former masters student, JT Colonel, who has now moved on to Ph.D work. We have been advancing some of our work on using deep neural network based autoencoders and their applications towards audio synthesis, effects, and mixing.

We wrapped up our Data Science and Design Projects for Social Good recently. COVID-19 naturally made for a significant disruption of the semester, but nonetheless there are some really exciting projects that came out of the course. While we weren’t able to have our usual exhibition, we were able to put up websites highligthing some of the work.

We held our final review for a new course, Generative Machine Learning for Architecture (co-instructor Ben Aranda). This was a new experiment at Cooper where we embedded a small group of engineering students into the architecture studio. Although the semester was quite disrupted by COVID-19, we are still really impressed with the output of this course.

The Shenzen Biennial of Urbanism/Architecture opened on Dec 22, 2019, and an exhibit I worked on in conjunction with Ben Aranda and a group of Cooper Union students was an intergral part of the Biennial.