Silvia Sellán is a School of Engineering Distinguished Postdoctoral Fellow in electrical engineering and computer science whose research seeks to broaden the application realm of computer graphics by quantifying the uncertainty of 3D geometric tasks. Their research has yielded groundbreaking results in geometry processing, computer graphics, and related fields. The primary focus of Silvia’s research is reinterpreting common geometric synthesis frameworks like modeling and reconstruction from a statistical perspective, an approach which can greatly improve the accuracy of established methods and enable completely new, uncertainty-aware algorithms with valuable applications in medicine, security, autonomous driving and more. With the support of a postdoctoral fellowship, Silvia will utilize this new stochastic perspective in particular applications, such as quantifying possible use-case-specific properties of an object and communicating this uncertainty to humans such as architects or surgeons, and artificial decision-makers such as autonomous vehicles. Silvia’s research is delivering transformational approaches and tools and helping to expand computer graphics far beyond traditional entertainment applications and into decision-making in a wide range of industries, from autonomous vehicles to healthcare. Silvia accepted a tenure track faculty position at Columbia University and will be departing the program in the summer of 2025.