Steven Chase is associate professor in the Department of Biomedical Engineering at Carnegie Mellon University. Chase uses brain-computer interfaces to study motor learning and skill acquisition. His work stands to provide a better understanding of how movement information is represented in networks of neurons in the brain and will inform the development of neural prosthetics.

Chase was a Wimmer Faculty Fellow in 2013-14 and the recipient of a National Institutes of Health Individual National Research Service Award in 2002. His work has been supported by the NIH, DARPA, and the Craig H. Neilsen Foundation.

Google Scholar
Steven Chase
Chase Lab website

Designing Brain-Computer Interfaces to Understand Motor Learning & Control


2006 Ph.D., Biomedical Engineering, Johns Hopkins University

1999 MS, Electrical Engineering, University of California, Berkeley

1997 BS, Applied Physics, California Institute of Technology

Research Interests

Media mentions

CMU Engineering

Connecting the dots between engagement and learning

New research from Carnegie Mellon University and the University of Pittsburgh examines how changes in internal states, such as engagement, can affect the learning process using BCI technology.

CMU Engineering

Stabilizing brain-computer interfaces

New research will drastically improve brain-computer interfaces and their ability to remain stabilized, greatly reducing the need to recalibrate these devices during or between experiments.

CMU Engineering

Brain changes when mastering new skills

Mastering a new skill—whether a sport, an instrument, or a craft—takes time and training. While it is understood that a healthy brain is capable of learning these new skills, how the brain changes in order to develop new behaviors is a relative mystery.


Chase quoted in Reuters on Stanford BCI experiment

BME’s Steve Chase was quoted in Reuters on a recent experiment performed by Stanford University. While previous experiments have had some success using brain sensors paired with customized computers to help paralyzed patients type up to eight words a minute, the article says, the current test focused on making it possible for these patients to use tablets and smartphones right out of the box without any special modifications.

Quanta Magazine

Yu and Chase quoted in Quanta on roadblocks to learning

Byron Yu and Steve Chase were quoted in Quanta Magazine about their research on how the brain reused old neural patterns when learning new tasks.

CMU Engineering

The learning brain is less flexible than we thought

New research from CMU and Pitt reveals that when learning a new task, the brain is less flexible than previously thought.

CMU Engineering


The NSF Faculty Early Career Development (CAREER) Program is a foundation-wide initiative, offering prestigious awards to encourage faculty early in their careers to serve as role models in research and education, and to build the foundation for a lifetime of leadership in their field.

CMU Engineering

Professorships and fellowships

Congratulations to the College of Engineering faculty members who were recently awarded fellowships and professorships.

CMU Engineering

Dean’s Early Career Fellows

Four distinguished young faculty have been awarded the 2017 Dean’s Early Career Fellowships for groundbreaking work in their fields.