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I am an NIH Postdoctoral Fellow in Mechanical Engineering at Stanford University, working in the Collaborative Haptics and Robotics in Medicine (CHARM) Lab with Allison Okamura and Maarten Lansberg. In 2019, I received my PhD in Human-Centered Computing from the School of Interactive Computing at the Georgia Institute of Technology, advised by Thad Starner. I earned my bachelor's degree in Electrical Engineering with Highest Honors from the Georgia Institute of Technology in May 2013.

My research focuses on human-machine systems, including wearable devices and haptics. These unique forms of technology allow machines to be closely connected to the human body, and thus have enormous potential in the fields of healthcare and human augmentation. While most researchers use wearable devices for sensing, my work explores technology as an intervention -- to improve learning, health, or rehabilitation. Evaluation of these interventions in turn provides new data on mechanisms of the body and mind, leading to new questions in physiology and human-machine interaction.

During my doctoral work, I defined the capabilities of a new haptic training method. Haptic input (force feedback and touch) provides an especially powerful modality for training motor tasks because of its direct application to the relevant body parts and the resulting sensory activation that is a key component of normal movement. Currently, I am examining new methods of limb rehabilitation using wearable, mechanical stimulation. My other work includes mobile tools to quantitatively measure sensorimotor function, metrics for text entry evaluation, and a brain-computer interface method. My research interests focus on two main areas:

Health and Clinical Devices Mobile and wearable devices can provide access to healthcare solutions outside a clinical environment. Tele-health can increase convenience, affordability, and encourage routine monitoring that enables early intervention before conditions become critical. Though many groups face barriers to healthcare access both in the United States and globally, mobile technology may provide new treatment options and more accessible care.

Human Augmentation My research also aims to develop mobile and wearable technologies to augment human performance and resilience. Computerized learning and training aids can enhance skill acquisition for those with intact abilities and those with disabilities. Beyond skill acquisition, I am excited to work on the cusp of human-computer integration, including body-mounted or body-integrated devices.

There are three products of this research 1) technology-enabled methods, such as clinical interventions or training techniques 2) new wearable and mechanical devices 3) data on phenomena of the body and brain. At times, my work also includes translational research. Some research products may have the potential to improve quality of life, and thus these technologies are good candidates for translation. I work with initiatives such as the Stanford Wu Tsai Neuroscience:Translate Program, which connects researchers with collaborators from industry and venture capital.







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seimResearch @ gmail.com