Devin J. Roach

Dr. Devin Roach is an Assistant Professor at Oregon State University (OSU) and leads the Versatile Additive Manufacturing at Oregon State (VAMOS) Laboratory. His research explores how additive manufacturing, commonly known as 3D printing, can be transformed from a shape-making tool into a platform for fabricating functional, active, and intelligent systems. Central to this effort is the development of advanced functional materials designed for 3D and 4D printing; where printed structures are engineered to detect, actuate, and adapt in response to their environment. By combining multi-material 3D printing with AI-driven optimization, intelligent process control, and data-driven design of materials systems, the VAMOS Lab creates multi-functional devices for applications ranging from printed electronics and aerospace components to soft robotic and autonomous devices. His work has received broad recognition, accumulating over 3,500 citations, and appears in high-impact journals including Science, Advanced Materials, ACS Applied Materials & Interfaces, and Additive Manufacturing.

Prior to his time at OSU, he was a Senior Member of the Technical Staff at Sandia National Laboratories leading a research group focusing on applied machine learning methods for real-time monitoring and autonomous optimization of additive manufacturing systems.

He spent 10 years studying at the Georgia Institute of Technology obtaining his BS, MS, and PhD degrees in Mechanical Engineering focusing on materials and manufacturing science. He received a philosophy minor along with his BS degree in 2016.

Research Interests
Dr. Roach’s research interest lie at the cross-section of additive manufacturing (AM), materials development, and structural design. He is particularly interested in how artificial intelligence can be applied to rapidly develop AM approaches for diverse classes of materials including thermosets, soils, or metals. Additionally, he is interested in the development and manufacturing of smart/active materials such as shape memory polymers (SMP) and liquid crystal elastomers (LCE) for applications in biomedical devices, soft robotics, and energy harvesting devices.