Summary
Juan Bello is a research scientist specializing in self-supervised single-image understanding—depth, novel view synthesis, 3D reconstruction, inpainting, and image sharpening—with a decade of experience spanning academia and industry. A PhD candidate and postdoc from KAIST with internships at Adobe and Meta, he has first-author papers in top venues (ICIP, ICLR, NeurIPS, CVPR) and now applies neural rendering and dynamic face compositing as a researcher at Flawless. His background bridges rigorous signal-processing roots (BEng with near-perfect grades) and production-focused engineering from early roles at Procter & Gamble, enabling practical research that moves toward deployable tools. Based in Santa Monica, he combines deep technical depth in computer vision with hands-on experience shipping prototypes and contributing novel methods that often require minimal supervision. Notably, he pivots smoothly between inventive academic work and product-driven neural rendering challenges, reflecting a talent for translating complex models into real-world media applications.
11 years of coding experience