Design Computation and Digital Engineering (DeCoDE) Lab

The Design Computation and Digital Engineering (DeCoDE) Lab, situated in the Mechanical Engineering department at MIT, works at the intersection of Engineering Design and Artificial Intelligence. We envision a world where humans and AI design together to solve our world's biggest challenges. To achieve this vision, we explore fundamental machine learning and optimization methods to enhance the design of complex mechanical systems and aid human design teams in creating better products. We aim to develop versatile methods that are applicable to a broad spectrum of engineering problems at different scales, complexity, wickedness and disciplinarity. We approach design challenges by mathematically formulating them as machine learning and optimization problems that can be generalized. By harnessing advanced machine learning techniques, we are reinventing the product design process, aiming to foster greater innovation and accelerate the creation of better designs.

At DeCoDE Lab, our core values - Integrity, Inclusivity, Collaboration, and Excellence - guide us to conduct research with honesty and transparency, foster a diverse and welcoming environment, recognize the power of teamwork, and continually strive for the highest quality in all our endeavors. We are also advocates for reproducible and open-source science, and we contribute by sharing most of our research code and papers online.