Summary
Bongjin Koo is a scientist at the Simons Machine Learning Center with nine years of experience applying geometric and deep learning methods to reconstruct 3D protein structures from Cryo-EM data. He blends a strong academic foundation—a PhD and MSc in Computer Science from UCL—with interdisciplinary postdoctoral work spanning computer vision, surgical AR, and biomedical imaging. His background includes applied research roles at UCSB and UCL, plus early industry experience as a CTO and game developer, which give him a rare mix of systems thinking and hands-on engineering. Known for tackling problems with limited labeled data and deformable 3D-to-2D registration, he brings both methodological rigor and practical implementation skills to structural biology challenges. Based in New York, he thrives at the intersection of cutting-edge ML research and real-world biomedical impact.
9 years of coding experience