Published multiple papers including but not limited to 'Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy', 'ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion' etc.
Research Experience
Principal Scientist at Adobe Research; Worked on the data analytics team at Khan Academy during a postdoc at Stanford.
Education
PhD from Stanford University, advisor Pat Hanrahan; Undergraduate degree from Caltech, advisor Mathieu Desbrun.
Background
Research interests: Combining computer graphics, vision, and machine learning to make it faster and more fun to complete creative tasks.