People

My research interest focuses on the use of prototypes during the medical device design process. I’m exploring methodologies to use prototypes as tools to communicate ideas, elicit user requirements and engineering specifications, avoid perceived solutions, explore ways to evaluate design without bias and ways to improve stakeholder involvement. Other research interests include the impact of prototypes on learning and problem solving, design education and pedagogies that increase students’ implementation of design methods. I conduct some of my research in the US and Ghana.

My dissertation research focused on understanding the most effective ways to engage with stakeholders when developing medical devices for low- and middle-income countries. I sought to understand how design ethnography can be used to develop a deep understanding of stakeholder requirements during medical device development. As a postdoctoral fellow, I am pursuing the commercialization and development of a technology that enables community healthcare workers to administer long-acting contraceptive implants in underserved areas. My current work is focused in Ethiopia & Ghana.

My primary research interests focus on health technology design processes for resource-constrained settings and the impacts of decision-making strategies for design under uncertainty. I am exploring methodologies that allow stakeholders to be involved in the design process. Other research interests include the co-identification of health delivery challenges and co-development of associated design solutions and their sustainable implementation. I conduct some of my research in Ghana, Nicaragua, and Uganda.

My primary research focus is the design and development of wireless biofeedback systems for patients with physical or sensory disabilities resulting from injury or disease. Other interests include the development of a cell phone–based balance trainer for at-home balance training, postural and perceptive response to vibrotactile stimulation, and slip onset detection and warning during locomotion. My research involves control theory, algorithmic development, mechatronics, and human motor function.

My research interests include medical device design and development, experimental design, and data-driven artificial intelligence. My research focused on understanding the use of sensory argumentation in balance rehabilitation for people with balance disorders and older adults. I am also exploring the automation of home-based balance training using machine learning techniques. I am currently a Ph.D. candidate in Mechanical Engineering. I received Graduate Data Science Certificate and Bachelor of Science degree in Mechanical Engineering from University of Michigan and Bachelor of Science degree in Electrical and Computer Engineering from Shanghai Jiao Tong University.

My research interests include medical device design, development, and implementation in clinical and home-use settings as well as the development of mechatronics systems. I received my Bachelor of Science degree in Mechanical Engineering from Northeastern University and earned minors in Mathematics and Business Administration. Through the Northeastern Co-Op program and post-graduate employment I have gained nearly three years of experience in the product development and medical device industry. In my free time I enjoy golfing, fishing, and sailing.

My research aims to investigate the design process for the design of medical devices for use in low-resource settings. I am interested in the effects of leveraging prototypes to engage stakeholders and ultimately lead to the high uptake of products by users, within the context of global health. I am also interested in investigating ways to avoid failures in the implementation phase for such devices. I am received a Ph.D. in Design Science and a Masters of Applied Economics, both at the University of Michigan.

Many of my research interests stem from my fascination with leveraging physiological data and machine learning for health applications. A primary focus of my work is about how we can apply wearable technologies for informing risk, augmenting health monitoring, and preventing injury. Currently, I am a PhD candidate in Mechanical Engineering at the University of Michigan. I received my Bachelor of Science degree in Mechanical Engineering from the University of California, Berkeley.

My research interests are in prototyping, front-end design, stakeholder engagement, product design and development, and medical device design. I am a Ph.D. candidate in Design Science and a Rackham Merit Fellow at the University of Michigan. I am also a facilitator at the Center for Socially Engaged Design at UM. I received my Bachelor of Science in Mechanical Engineering from the University of Puerto Rico at Mayagüez (2016) and a Master of Science in Design Science from the University of Michigan (2019).

My primary research interest is the development of devices and techniques to aid in balance and gait rehabilitation for individuals with sensory or physical deficits due to aging or after an injury. I am interested in lower-cost devices that can be easily implemented and used in a patients’ home or in a clinical setting. I am also interested in the neural mechanisms of how older adults and individuals with sensory or physical deficits acquire new skills.

My research interests include biomechanics, as well as injury prevention and rehabilitation.  My research aims to automatically identify and quantify gait abnormalities for people with vestibular disabilities through supervised machine learning.  I am currently a PhD pre-candidate in Mechanical Engineering.  I received my Bachelor of Science degree in Mechanical Engineering from Valparaiso University and earned minors in Mathematics and Bioengineering.

My research interests include the development of medical devices for those in low-resource settings, specifically the design processes of orthotics and protheses. I received my Bachelor of Science in Biomedical Engineering at Hope College. I received my Mechanical Engineering Master’s at the University of Michigan for my research in the development of medical devices for low-resource settings.

My research interests include design science, engineering education, and medical devices for low-resource settings. I am a PhD pre-candidate in Mechanical Engineering at the University of Michigan. I also received a Bachelor of Science in Mechanical Engineering at Auburn University.

My research interests include the development of wearable technologies using data-drive approaches for the improvement of precision health and athletic training. I am currently a Ph.D. candidate in Mechanical Engineering and a MIDAS data science certificate program student at the University of Michigan. I received a Bachelor of Science in Mechanical Engineering and Bachelor of Arts in Philosophy with a concentration in Applied Ethics from Santa Clara University.

My research interests include the design of technologies intended for economic and social development. My research focuses on investigating and developing methodologies for incorporating contextual factors (e.g., environmental, social, cultural, political, industrial, etc.) into engineering design decisions. I have worked for NASA’s Convergent Aeronautics Solutions Project and was an ASME Engineering for Change Fellow for five years. I am a Ph.D. Candidate in Design Science and hold a dual-M.S. in Mechanical Engineering and Applied Anthropology and a B.S. in Mechanical Engineering from Oregon State University.

I have a long-standing interest in the prevention, mitigation, and rehabilitation of musculoskeletal injury. My research generally focuses on the application of data science and machine learning in human performance assessment, with a specific emphasis on neuromuscular training and feedback. As a postdoctoral fellow, my work is focused on the development of data-driven human movement assessment and feedback applications for the purpose of improving evidence-based clinical care.