Summary
Juheon L is a machine learning engineer with nine years of research-to-production experience focused on 3D surface representations—point clouds, meshes, voxels—and geometric deep learning. He holds a PhD from the University of Cambridge where he developed novel sensor-fusion methods for LiDAR, aerial photography, and hyperspectral data, and has published widely and contributed to multiple patents in the space. His work spans applications from medical imaging and radiomics at Stanford to physics-informed neural nets for 3D printing at HP, and he now applies Instagram-scale ML at Meta in San Jose. Known for bridging rigorous academic methods with pragmatic engineering, he has built structure-aware generative models and graph-based object detection for LiDAR. Beyond core research, Juheon’s background in music and audio research informs an atypical interdisciplinary curiosity that surfaces in creative model design.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (BA), Bachelor of Arts (BA) at Seoul National University
Doctor of Philosophy (PhD) Mathematical and Computational Biology Applied Mathematics, Doctor of Philosophy (PhD) Mathematical and Computational Biology Applied Mathematics at University of Cambridge
English