Seung-Schik Yoo

Associate Professor of Radiology, Harvard Medical School

Seung-Schik Yoo is an accomplished academic and researcher currently serving as an Associate Professor of Radiology at Harvard Medical School, as well as a faculty member in the Mind Brain Behavior Interfaculty Initiative at Harvard University. He is also the director of the Neuromodulation and Tissue Engineering Laboratory at Brigham and Women's Hospital.

Research Focus and Contributions

Dr. Yoo's research primarily revolves around neuroscience, human-machine interactions, and non-invasive brain stimulation techniques. He is known for his pioneering work in developing real-time functional magnetic resonance imaging (fMRI), which allows for the interpretation of brain activity and its interface with machines and computers. This technology has significant implications for understanding cognitive processes and developing brain-computer interfaces.1 2

In addition to fMRI, Dr. Yoo has innovated a new non-invasive brain stimulation method utilizing focused ultrasound waves to modulate specific brain regions. His goal is to advance these techniques for various neurotherapeutic applications, exploring how thoughts and brain processes can be linked between individuals.1 3

Dr. Yoo has also made strides in 3D bioprinting, creating artificial brain tissues and organoids that could have applications in both neural computing and medical fields.1 2 His work is characterized by a commitment to exploring non-surgical methods to enhance brain function, thereby broadening the potential for therapeutic interventions without the need for invasive procedures.3 4

Academic Background

Dr. Yoo holds a Ph.D. and an MBA, reflecting a strong foundation in both scientific research and management.2 His contributions to the field have been recognized through numerous publications, with a significant number of citations highlighting his impact on neuroscience research.2

Overall, Seung-Schik Yoo's work at Harvard University places him at the forefront of neuroscience, particularly in developing innovative technologies that bridge the gap between brain function and machine interaction.