Christopher McComb

AI Foundations Research

  • human-machine teaming
  • human-AI collaboration
  • geometric data representation

Applied AI Research

  • AI/ML for engineering design
  • simulation of sociotechnical systems
  • design for additive manufacturing

Externally-funded AI Projects

  • “A Hybrid Computer Platform to Design, Guide and Partner with Humans in the Team Problem-solving Process”, DARPA, (Co-PI with PI Jonathan Cagan), August 2017 – July 2021
  • “Rapid Evaluation and Synthesis of Engineering Systems” NVIDIA Corporation, (Sole PI) August 2017 – August 2018
  • “Machine Learning for Additive Manufacturing Applications”, NVIDIA Corporation, (Sole PI) August 2018 – August 2019
  • “Investigating the Effectiveness of Machine Learning Paradigms for Training Novice Designers in Rapidly Evolving Digital Manufacturing”, NSF, (PI with Co-PI Nicholas Meisel, Co-PI Timothy Simpson), August 2018 – August 2021
  • “Part Screening and Redesign for Additive Manufacturing”, Rexnord Corporation (PI with Co-PI Timothy Simpson), August 2019 – August 2020
  • “Smart Model-centric Life Cycle Approach to Collaborative Execution of Capital Projects”, Construction Industry Institute, (Co-PI with PI John Messner, Co-PI Robert Leicht), September 2019 – September 2021
  • “Human Error Reduction in Mack Truck Operations”, PA Manufacturing Innovation Program, (Co-PI with PI Ling Rothrock, Co-PI Matthew Parkinson), May 2020 – May 2021
  • “Neuro-Symbiotic Co-Designer Using Oracle-Guided Synthesis and Reinforcement Learning,” DARPA, (Co-PI with PI Susmit Jha, Co-PI Anirban Roy, Co-PI Narajan Shankar, Co-PI Dejan Janovic, Co-PI Daniel Elenius, Co-PI Bruno Duterte, Co-PI Karan Sikka, Co-PI Sam Owre, Co-PI Swarat Chaudhuri), October 2020 – September 2024

AI-Related Courses

  • EDSGN 561: Data-Driven Design

Web Page


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Christopher McComb
James L. Henderson, Jr. Memorial Assistant Professor of Engineering Design



The Center for Artificial Intelligence Foundations and Engineered Systems (CAFE), pronounced café, brings together expertise from 75 researchers representing 24 academic units across Penn State with the goal of developing cross-disciplinary interactions. The center’s focus is on accelerating advances by synergistically advancing AI foundations and the techniques to deploy them efficiently toward applications focused on engineered and defense systems. CAFE provides opportunities for research partnerships, faculty/student recruitment, and technology transition to practice.

Center for Artificial Intelligence Foundations and Engineered Systems

The Pennsylvania State University

W323 Westgate Building

University Park, PA 16802