People

Christopher McComb is a faculty member in Carnegie Mellon University’s Department of Mechanical Engineering. Previously, he was an assistant professor in the School of Engineering Design, Technology, and Professional Programs at Penn State. He also served as director of Penn State’s Center for Research in Design and Innovation and led its Technology and Human Research in Engineering Design Group.

He received dual B.S. degrees in civil and mechanical engineering from California State University-Fresno. He later attended Carnegie Mellon University as a National Science Foundation Graduate Research Fellow, where he obtained his M.S. and Ph.D. in mechanical engineering.

His research interests include human social systems in design and engineering; machine learning for engineering design; human-AI collaboration and teaming; and STEM education, with funding from NSF, DARPA, and private corporations.

AI Coach

Wrangling Manufacturing Data by Using Machine Learning

Human-AI Teaming

Building Simulations to Predict Human Behavior

Education

Ph.D., Mechanical Engineering, Carnegie Mellon University

M.S., Mechanical Engineering, Carnegie Mellon University

B.S., Civil Engineering and Mechanical Engineering, California State University-Fresno

Media mentions


CMU faculty to present at SXSW

MechE’s Jon Cagan and Chris McComb, BME’s Keith Cook and Rosalyn Abbott, and BME/MSE’s Adam Feinberg are leading sessions at SXSW 2025 that will focus on the application of AI in education and organ transplant technology.

Mechanical Engineering

TEECNet neural network cuts cost of engineering simulations

Researchers from Carnegie Mellon University developed a data up-sampling method called TEECNet that enables scientists to run highly efficient engineering simulations.

CMU Engineering

The trend is your friend … and so is machine learning

Grasping both general market trends and finer details, a new, hybrid machine learning model from researchers in the Department of Mechanical Engineering predicts financial market volatility with increased accuracy.

CMU Engineering

Putting the ghost in the machine

To build AI teammates that better reflect human designers, Chris McComb is emulating cognitive styles in large language models.