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Damon Weiss is a Professor of Practice in the Department of Civil and Environmental Engineering at Carnegie Mellon University. He holds an M.S. in Advanced Infrastructure Systems from Carnegie Mellon and a B.S. in Civil Engineering from the University of Virginia. With 28 years of applied experience in digital modeling, urban systems, and data-informed design, Weiss aids students in connecting emerging technologies to real-world infrastructure challenges. At Carnegie Mellon, he teaches graduate courses on digital twins and advanced infrastructure systems while helping shape an online certificate program focusing on AI Engineering, specifically Digital Twins and Analytics. This program targets engineers and planners in applying real-time sensing, simulation, and machine learning to complex infrastructure systems. In addition to his academic role, he co-founded Ethos Collaborative, a Pittsburgh-based civil ecological engineering firm specializing in sustainable and community-centered urban design. His dual engagement integrates thoughtful design with emerging technologies, bridging the tactile, human-scaled aspects of infrastructure with digital twin systems and AI models to enhance decision-making, performance, and public value. His work supports municipal and regional partners in advancing climate resilience, infrastructure equity, and systems-level planning for the built environment.
Carnegie Mellon University • Pittsburgh, PA
Teaches graduate courses on digital twins and advanced infrastructure systems.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.