Cognitive & Emerging Computing
Cale Crowder, Ph.D., is a Postdoctoral Appointee in Cognitive and Emerging Computing. Cale’s research at Sandia National Laboratories focuses on applying machine learning and reinforcement learning techniques to solve many different problems including:
- Design of microelectronics
- Design of neuromorphic computers
- Cooperative problem solving by multiple agents operating in the same environment
- Simulating how international disinformation campaigns affect nuclear deterrence foreign policy
Prior to joining Sandia National Laboratories in 2021, Cale earned his Ph.D. in the Department of Biomedical Engineering at Case Western Reserve University. His thesis work involved designing reinforcement learning methods for training functional electrical stimulation controllers that could restore motion to a model of a paralyzed human arm following spinal cord injury. He also worked extensively on human intracortical brain computer interface clinical trials. This work was supported by a National Science Foundation Graduate Research Fellowship. As an undergraduate, Cale contributed to multiple fields including: 1) cancer drug delivery, 2) bone biology, and 3) brain computer interfaces.
Cale’s primary research interests include: 1) artificial intelligence, 2) artificial general intelligence, and 3) human cognition. Cale’s secondary research interests include design of novel computing platforms.
Ph.D., Biomedical Engineering, Case Western Reserve University, 2021
Thesis: Reinforcement Learning for Control of a Multi-Input, Multi-Output Model of the Human Arm
B.S., Biomedical Engineering, The University of Akron, 2015