Summary
Skylar Wurster is an applied researcher and PhD-trained AI/graphics specialist with a decade of experience translating cutting-edge 3D research into production tools for companies like Adobe, Tencent, and Argonne National Lab. Their work spans gaussian splatting, NeRFs, hierarchical decomposition, and neural super-resolution, with publications at SIGGRAPH and IEEE VIS and a focus on lightweight, adaptive neural architectures. Skylar blends deep scientific visualization expertise with product-driven engineering to lower the barrier to 3D content creation while accelerating professional artist workflows. Based in San Francisco, they have repeatedly moved ideas from lab prototypes to industry pipelines—most recently integrating 3D/AI research into Adobe Substance 3D. An underappreciated strength is their experience applying hierarchical implicit representations to both scientific and creative domains, enabling scalable rendering and analysis of very large datasets.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.9, Doctor of Philosophy - PhD, Computer Science, 3.9 at The Ohio State University
English