Dr. Pradeep Sen's research focuses on applying machine learning to generative (synthesis) problems in the fields of computer graphics, computational image processing, and computer vision. In computer graphics, he has worked on using machine learning to improve and accelerate the rendering process for computing photorealistic images from scene descriptions. His research team was among the first to apply machine learning to this problem by proposing the world's first learning-based Monte Carlo denoiser, which has led to a wide range of learning-based denoising systems deployed in industry today. He is also interested in other applications in computer graphics, such as content creation and video synthesis. In computer vision, Dr. Sen applies machine learning to problems such as 3D reconstruction from stereo or structure-from-motion, as well as developing novel image enhancement and deconvolution algorithms to solve ill-posed problems in imaging.