CV
Michael Hasey
BAS (Honors), M.Arch, MSCD (2022)
Artificial Intelligence // Computational Design // Architecture
2021 Edition
MICHAEL HASEY
www.michaelhasey.com
BAS.(Honors), M.Arch., MSCD (2022)
Artificial Intelligence // Computational Design // Architecture
+1 (619) 241 0497 mhasey@andrew.cmu.edu
ABOUT A.I. & Architecture
· Michael Hasey is a computational designer and graduate researcher at Carnegie Mellon University who works at the intersection of artificial intelligence and the built environment. With over 7 years of experience working within both the AEC (Architecture, Engineering, & Construction) and technology startup industries, he continually seeks out new opportunities to advance architectural creativity, efficiency and optimization through the latest computer science based techniques. · Michael’s current research focuses heavily on deep learning AI algorithms and their potential impact on architectural design processes. Current experiments involve 2D & 3D neural network algorithms (GANS, VAEs, Style Transfer, etc), synthetic architectural data generation tools, and computational pipelines that autonomously and rapidly generate large databases of architectural information for deep learning projects.
EDUCATION Carnegie Mellon University Pittsburgh, USA McGill University Montreal, Canada
University of Waterloo Waterloo, Canada
Master of Science in Computational Design (MSCD) - expected 2022
2020 - 2022 2 years
· A post-professional research program for the advanced study of computational design. · Thesis topic: Leveraging deep neural networks to augment / synthesize architectural design. Master of Architecture (M.Arch)
2013 - 2015
· A professional and accredited two-year Design Studio Directed Research architecture program. · Thesis topic: A design for a tech-hub in Kenya entitled “The Maasai Knowledge Exchange”. Honors Bachelor of Architectural Studies (BAS) · A five-year pre-professional architecture degree. · Incorporates five co-op terms totaling nearly two years of professional experience.
2 years
2006 - 2011 5 years
CERTIFICATIONS General Assembly Los Angeles, USA
Data Science Fellow · Successfully completed a rigorous four-month / 60 hour per week Data Science Immersive course in preparation for my research and work at Carnegie Mellon University. · Learned to address real-world problems with the latest statistics and probability, data mining and visualization, supervised / unsupervised learning, deep learning and cloud computing techniques and best practices.
03/2020 - 06/2020 4 months
WORK EXPERIENCE Katerra Seattle, USA
Architectural Designer // R&D Team · Katerra is 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. · I managed two 6-story, 300+ unit multi-family residential buildings and led the architectural coordination and strategic project management of construction documents and construction administration, taking the building from mid-phase CD development to midphase construction. · In addition to managing an internal team, I worked closely with clients, construction teams, engineers, and consultants to pro-actively address complex design challenges with impactful and effective solutions. · While managing these projects, I helped coordinate the installation of Katerra’s first CLT (cross-laminated timber) panels, which was a landmark achievement for the company. · I also worked on a number of important R&D initiatives including the creation of innovative CLT and wall / floor assembly details that became company-wide standards. · I consistently received the highest ratings at quarterly performance reviews by a variety of managers and was promoted in July of 2019.
08/2017 - 10/2019 2 years, 3 months full-time employment
MICHAEL HASEY
www.michaelhasey.com
BAS.(Honors), M.Arch., MSCD (2022)
Artificial Intelligence // Computational Design // Architecture
Rick Joy Architects Tucson, USA
The SupaMaasai Foundation Toronto, Canada
nKA Toronto, Canada
Peytec // UnRealty Toronto, Canada
XTEN Architecture Los Angeles, USA
+1 (619) 241 0497 mhasey@andrew.cmu.edu
Architectural Designer · Rick Joy Architects is an internationally recognized architecture firm that specializes in lifestyle-based projects, including high-end single-family residences & ultra-lux resorts. · During my time there, I led the design of multiple lifestyle-based buildings within a large ultra-lux seaside resort project in Mexico and was responsible for site analysis, concep- tual design, schematic design, construction documentation, and consultant coordination. · I worked closely with senior architects and design teams to insure that the highest quality of design, construction, and client satisfaction was consistently met. Architectural Designer · The SupaMaasai Foundation is a start up company that empowers Maasai women and youth through education and entrepreneurship and is based out of Ryerson University’s Digital Media Zone, Canada’s leading business incubator for technology startups. · In 2014, the foundation commissioned me to design their community / tech centre in the small Maasai town of Loodariak, Kenya. · I then traveled to Loodariak to conduct the necessary site research needed to design a functional, culturally appropriate and aesthetically pleasing building. · While there, I established partnerships with the local community, architects, contractors, universities, and politicians to help facilitate the future completion of the project. · After completing an initial design, I re-approached the project again with a second and more in-depth design while at McGill University; culminating in my master’s thesis entitled “The Maasai Knowledge Exchange”. Architectural Designer · nkA is an award winning architecture firm that designs elegant and well-crafted residential and commercial buildings across Toronto.
Front-End Digital & Web Designer · I was responsible for front-end digital & web design for two technology companies (Peytec, an industrial IoT engineering company, and UnRealty an Online pre-sale real estate company) operating out of Ryerson University’s Digital Media Zone, Canada’s leading business incubator for technology startup companies. Architectural Designer · XTEN Architecture is a boutique design firm that focuses on both domestic and international residential, commercial, and cultural projects.
11/2015 - 09/2017 1 year, 10 months full-time employment
01/2014 - 06/2015 1 year, 6 months part-time employment
04/2013 - 08/2013 5 months full-time employment 10/2012 - 04/2013 7 months full-time employment
04/2012 - 08/2012 5 months full-time employment
CO-OP WORK EXPERIENCE (University of Waterloo internship program)
Acconci Studio New York City, USA RAW Design Toronto, Canada Diamond Schmitt Toronto, Canada HLW International LLP New York City, USA
Intern Architect · Acconci Studio is a concept driven architecture office that produces speculative work. Intern Architect · RAW Design is a medium sized architecture firm that focuses on multi-family work. Intern Architect · Diamond Schmitt Architects is a leading Canadian full-service architectural practice. Intern Architect · HLW is a full service architecture, interiors, strategy, planning and engineering firm.
01/2011 - 04/2011 4 months 01/2010 - 08/2010 8 months 09/2008 - 12/2010 4 months 01/2008 - 04/2010 4 months
MICHAEL HASEY
www.michaelhasey.com
BAS.(Honors), M.Arch., MSCD (2022)
Artificial Intelligence // Computational Design // Architecture
+1 (619) 241 0497 mhasey@andrew.cmu.edu
RESEARCH INTERESTS Computer Vision
· 2D and 3D image classification, live/static object tracking and image/scene segmentation.
Deep Neural Networks
· 2D and 3D Generative Adversarial Networks (GAN) , Variational Auto Encoders (VAE), Pix2Pix, Style Transfer, etc.
Synthetic Data / Design
· Image synthesis, 2D and 3D architectural design synthesis, and synthetic data generation and applications.
Data Aggregation
· Automated and rapid data aggregation for architectural deep learning.
ACADEMIC COURSES RELATED TO RESEARCH
Learning-Based Image Synthesis 16-726
· An introduction to machine learning methods for image and video synthesis by buildiing practical application and creating new visual effects.
Machine Learning 10-601 (unofficial audit)
· This course covers the theory and practical algorithms for machine learning from a variety of perspectives including Bayesian networks, decision tree learning, Support Vector Machines, unsupervised learning and reinforcement learning.
Department of Machine Learning CMU
Fundamentals of Programming 15-112
· A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing and debugging.
Department of Computer Science CMU
Human AI Interaction 05-618
· An introduction to harnessing the power of AI so that it is beneficial and useful to people by exploring topics such as agency and initiative, AI and ethics, bias and transparency, confidence and errors, and trust and explainability.
Human-Computer Interaction Institute CMU
Probability & Mathematical Statistics 36-700 (unofficial audit)
· This course provides a quick introduction to probability theory, and then cover fundamental topics in mathematical statistics such as point estimation, hypothesis testing and asymptotic theory.
Department of Statistic & Data Science CMU
Exploring AI in Architecture 48-770
· This course explores four fields of machine learning and their potentials in design problems including Unsupervised Generative Models, Situated Machine Learning, Multi-modal Machine Learning, and Reinforcement Learning.
School of Architecture CMU
Scripting & Parametric Design 48-724
· This course introduces students to basic scripting with a focus on algorithms relating to form making and to reinforce concepts of parametric modeling.
School of Architecture CMU
Robotic Institute CMU
TECHNICAL SKILLS Coding Languages:
· Python, JavaScript (basic), CSS, HTML
Coding Environments:
· VS Code, Jupyter, Atom, AWS, Google Colab
AI & Machine Learning:
· Deep Learning, supervised & unsupervised learning, GANS, WGAN, CycleGAN, DCGAN, AutoEncoders, Intro VAE, Linear & Logistic Regression, KNN, Random trees, Neural Style Transfer, Pix2Pix, image classification
Neural Net Libraries:
· Keras, TensorFlow, PyTorch, Scikit-learn, NumPy, FastAI
Data Science Libraries:
· Pandas, Beautiful Soup, Matplotlib, PyPlot, Seaborn, NLTK, Statsmodels
MICHAEL HASEY
www.michaelhasey.com
BAS.(Honors), M.Arch., MSCD (2022)
Artificial Intelligence // Computational Design // Architecture
+1 (619) 241 0497 mhasey@andrew.cmu.edu
Computer Graphics:
· Algorithmic image processing techniques, image pyramids scaling, poisson blending methods
Computer Vision:
· Static & live object detection and tracking methods and pipelines, image segmentation, RoboFlow, SixGill
Parametric Design:
· GH Python, applied Object Oriented Programming techniques, Grasshopper
3D Design:
· Rhino, 3Ds Max, SketchUp, V-Ray
2D Design:
· Photoshop, InDesign, Illustrator
BIM / CAAD Software:
· AutoCAD, Revit, BIM 360
Project Management:
· Jira, Construct, Bluebeam Revu, Smartsheet, Confluence
PUBLICATIONS & RECOGNITION · A proposal for a supportive tool for the quick and automated generation of large custom Archi-Base: Automated datasets of sorted and labeled architectural imagery for deep neural network (DNN) Dataset Construction of training within architectural research. Architectural Imagery for Deep Neural Networks Towards a Distributed, Robotically-Assisted Construction Framework
· A research project that uses reinforcement learning to support scalable multi-drone con- struction in dynamic environments. · My contributions included assistance with drone design construction, testing, workflow integration, and publication writing and editing.
GAN-Itecture, A New AI Tool for Architects
· A research project that investigates W-GAN’s capacity to synthesize novel building imagery in the architectural style of Zaha Hadid.
Primary Author CAAD Futures 2021 (submitted) Contributor ACADIA 2020
Primary Author White Paper, 2020
CURRENT RESEARCH PROJECTS Learning-CITY, Using 3D Neural Networks to Define Datasets of Architectural Geometry
· An ongoing research project with Jinmo Rhee (PhD Candidate at CMU) to use 3D Neural Networks to capture, explore, and quantify the seemingly ephemeral architectural styles embodied within datasets of geographically and culturally specific architectural building corpuses.
Primary Researcher 2021 - present
AWARDS Carnegie Mellon University
· Recipient of the SoA Graduate Student Merit scholarship awarded to exceptional students joining the School of Architecture based on the strength of their application and demonstrated potential for advancing in their careers.
2020
McGill University
· Awarded the 2013 - 2014 Dr. Soo Kim Lan Prize in Architecture for outstanding student completion of the second semester of study in the Master of Architecture program.
2014
University of Waterloo
· Semi-finalist for a chair design for the “Come Up To My Room” exhibition in Toronto. · Winner of SSEF design competition for “Whistler Point Lighthouse” entry.
2009 2007
WEBSITES & REPOSITORIES Portfolio: LinkedIn: GitHub:
· www.michaelhasey.com · www.linkedin.com/in/michaelhasey · www.github.com/michaelhasey