Britt is a sixth year PhD candidate in the Neuroscience Graduate Program and is currently studying hearing loss and human cognition. His work explores how to integrate behaviorally relevant biological models of hearing loss into modern prosthetic devices, with the hopes of improving the working performance of such devices, the quality of life for the users, and exploring the mind in the process.
B.S. Mechanical Engineering, Rutgers State University, 2012
During her undergraduate career, Sarah held leadership positions in Pi Tau Sigma (Mechanical Engineering Honor Society) and Tau Beta Pi (Engineering Honor Society). She also contributed to the broader community, and her role as a student representative to the Rutgers Alumni Association earned her the Scarlet Award. Following graduation, Sarah joined a technology consulting firm and worked as business/project management analyst for global life sciences clients. Sarah gained valuable experience interfacing with client VPs and managing multiples teams in a dynamic environment.
Sarah is currently following her interest in human-robotics integration and physiology through PhD research at U.C. Davis. Her research project will combine surface electromyography and robotics to extend human capabilities in an extreme environment. Sarah is a member of both RASCAL and HRVIP research groups.
Megan is a PhD candidate in Mechanical and Aerospace Engineering. She earned a B.S. in Biomedical Engineering from the University of Texas at Austin in 2016 and a M.S. in Mechanical and Aerospace Engineering from UC Davis (and RASCAL!) in 2018. Currently, she is exploring how noise can be used as a tool to shape motor adaptation and motor learning in electromyography-based applications.
Jason is pursuing a PhD in Mechanical and Aerospace Engineering. After graduating with a B.S. in Biomedical Engineering from the University of Wisconsin – Madison, he went on to work with Ottobock Healthcare. Jason is interested in applying control theory to biomechatronic systems to improve peoples’ physical health.
Sanjat is a 2nd year Masters student in the Computer Science Graduate program and is currently working on detection of Onset of Depression from facial cues. His work involves accurate classification of facial expressions and tying facial cues to onset of depression. With his work, he hopes to identify and aid individuals with depression and provide inputs for improving their quality of life.