Training engineering students
to understand fundamental mechanisms of neuroscience
in order to treat neurological diseases

Advanced studies in neuroscience increasingly requires sophisticated mathematical and computational skills in addition to a strong knowledge base in neurophysiology. Likewise, novel treatments of neurological diseases require problem solvers (i.e., engineers) with both advanced computational skills as well as a solid foundation in systems neuroscience.

The fundamental premise of this training program is that early engagement of computationally strong students, principally engineers, in understanding fundamental mechanisms of neuroscience will accelerate development of technology and solutions for the diagnosis and treatment of stroke, Parkinson’s disease, amyotrophic lateral sclerosis, traumatic brain injury, pain, epilepsy, paralysis, and other neurodegenerative disorders.

With long-established research experience in these disorders existing at Washington University in St. Louis (WashU), this training program will develop common skill sets in engineering doctoral students towards solving difficult problems in neural engineering. Graduates of this novel training program will have the knowledge and expertise to pursue either an academic research career and/or a private sector research career in neurotechnology.


Preparation for advanced coursework in neural systems and computational courses in electrical engineering and computer science


Engineering doctoral students training to develop technology
that address neurological issues


Supporting PhD candidates in biomedical engineering, electrical engineering or computer science


Representing a broad range of those advancing neurotechnology and translational neuroscience research from the McKelvey School of Engineering, Arts & Sciences and the School of Medicine

If you are interested in finding out more about the TNNT program, please contact Dan Moran.