James Long brings essential technical experience in bioinstrumentation and signal processing to the development of undergraduate bioengineering education. He is committed to providing students a modern and practical engineering education.

Long was previously a graduate instructor at Duke University, where he also completed his doctorate in biomedical engineering. As an instructor, Long developed coding-based learning modules for biostatistics to bridge the gap between the conceptual and the practical. He also worked with Professor Ann Saterbak to investigate the role of problem-based learning in activating higher levels of Bloom’s Taxonomy, as well as associated professional skills such as technical communication and teamwork. Additionally, Long developed team-based exercises to emphasize a process-based approach to solving engineering challenges, specifically in the context of cellular modeling.

Long’s doctoral dissertation at Duke University investigated the applicability of spatial coherence in adaptive medical ultrasound imaging. Working in the laboratory of Professor Gregg Trahey and collaborating with Professor Nick Bottenus at University of Colorado Boulder, Long established a theoretical framework by which spatial coherence may be used to predict and mitigate the contribution of acoustic noise to the inherent tissue signal. Long also explored techniques to advance adaptive ultrasound imaging to clinical settings by optimizing imaging sequences to improve the speed of data collection and reduce the amount of data necessary to adaptively select imaging parameters.

In addition to his doctoral degree, Long holds a M.S. in biomedical engineering from Duke University and a B.S. in bioengineering from Rice University.