Seungbin Park

Seungbin Park's publicly listed work centers on applying computational and engineering tools to medical problems, including deep-learning image segmentation for jaw bones in CT scans, AI-based prediction tools for laser eye surgery planning, and mechanical design of automated devices for bending surgical plates used in bone fixation. The work sits at the intersection of biomedical engineering, medical imaging, and surgical device design rather than core neuroscience, despite the broad research area label. Prospective students would likely work on small, applied projects combining machine learning with medical device or imaging applications.

Publication output has been low but fairly steady over the last decade, averaging about one to two papers per year with no clear upward or downward trend.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026