Led team charged with integrating Body Labs' 3D body shape and measurement estimation tech in to multiple flagship products.

Founded in 2013, Body Labs is spinning out computer vision and machine learning technology developed at Brown University and the Max Planck Institute for Intelligent Systems. We provide the world's most statistically accurate 3D models of human shape, pose and motion. These models, combined with our extensive expertise in computer vision, computer graphic and machine learning, allow us to accurately predict an individuals shape and movement from images, videos or a wide variety of 3D data.

As a senior research scientist at the MPI for Intelligent System, I worked under MPI Director Michael Black as a founding member of his Perceiving Systems Department. I helped manage a team of computer vision researchers, collectively working together to build the world’s most accurate statistical model of human pose and shape.Through a combination of basic and applied research, data collection, and software engineering, we created tools and algorithms for learning highly accurate 3D models from large corpuses of 3D scan data. We also demonstrated the ability fit these models to noisy data, such as RGB-D images captured from a first generation XBOX Kinect. After two years we decided to commercialize our technology and formed Body Labs.

As a postdoc working under Prof. Michael Black, I worked on projects involving computer vision, machine learning and user interaction. Our groups work centered on generating realistic 3D body models from 3D scan data, video and photographs. We focused on developing increasingly accurate models of human shape and pose which could be fit to real world data. We also pursued web-based interfaces and applications that made use of these models.