I am a computational designer and graduate researcher at Carnegie Mellon University who works at the intersection of artificial intelligence and architectural design. With over 7 years of experience working within both the AEC (Architecture, Engineering, & Construction) and technology startup industries,I have continuously sought out new opportunities to advance architectural creativity and understanding using the latest computer science based techniques.
RESEARCH
My current research focuses heavily on deep learning algorithms and their potential impact on how we design and understand architecture. Current experiments involve neural network algorithms used to analyze thousands of 3-D building forms at a time (see Deep Vernacular: Analyzing 3D Wooden Church Forms Using Deep Learning), 3-D architectural form understanding (see 3D Building Segmentation using Deep Learning), investigations into synthesis control methods (see Image Synthesis Control), and creating computational pipelines to automatically generate large databases of architectural data for DL model training (see Archi_Base). My most recent research work investigates new methods to control novel 3-D building form synthesis through embedded latent vector manipulation using PCA and other techniques. Results of these experiments will be posted shortly.
ACADEMICS
In 2022, I completed the Master of Science in Computational Design program at Carnegie Mellon University. World renowned for its leading computer science programs and computational design research, I was able to acquire to the latest machine learning and deep learning techniques, skills and experience to explore new opportunities and critical perspectives at the intersection of artificial intelligence and architectural design. Prior to this, I completed a two-year Masters of Architecture program at McGill University in Montreal, Quebec which culminated in a graduate thesis entitled “The Maasai Knowledge Exchange”. I also completed an Honours Bachelor of Architectural Studies degree at the University of Waterloo School of Architecture.
To supplement my research with hard coding skills, I completed a four-month, 60-hour a week data science immersive program at General Assembly that focused on cutting edge machine learning and artificial intelligence based algorithms, deep learning neural networks, predictive modelling, pattern recognition, and data visualization processes.
EXPERIENCE
To date, I have accumulated over 7 years of professional experience while employed at various AEC companies in both Canada and the United States. Most recently, I worked as a Project Architect and R&D team member while at Katerra, a technology company in Seattle that operates at all levels of the construction industry; from A.I. informed master planning to architectural design, advanced manufacturing, and end-to-end design, engineering and construction. While there, I assisted with the management of two 6-story, 300+ unit multi-family residential buildings, worked with a small team to produce the companies first fully Katerra-designed, permitted, and completed buildings for a modular multi-family project in Las Vegas , and developed a number of advanced R&D initiatives including the creation of innovative modular CLT, wall and floor assembly systems, details and BIM integrated processes. Prior to that, I worked for Studio Rick Joy where I led the design for multiple lifestyle-based buildings steeped in local culture including an arrival center, beach club and restaurant within a large ultra-lux seaside resort project in Mexico called One & Only Mandarina.
OUTSIDE OF RESEARCH
Outside of research, I enjoy spending time outdoors hiking, camping, cycling and mountain biking, and continue to pursue my passion for music by playing guitar and piano, jamming with friends, attending concerts, and collecting music. Michael currently resides in Pittsburgh with his wife Erica.
