I am an associate research professor within the Robotics Institute at Carnegie Mellon University, where I am part of the Computer Vision Group, and leader of the CI2CV Lab. Before returning to CMU I was a Principle Research Scientist at the CSIRO (Australia's premiere government science organization) for 5 years. A central goal of mine long term is to stay true, in terms of research and industry engagement, to the grand goals of computer vision as a scientific discipline. I believe these goals to be strongly correlated with the founding philosophy of the Robotics Institute itself (i.e. of deep understanding for systems that work) . Specifically, although we want to develop seeing machines that work that work and have societal/economic impact, we do not want to replace “understanding” for “data”. Instead we want to draw inspiration from vision researchers of the past to attempt to unlock computational and mathematic models that underly the processes of visual perception using machine learning as a tool not a replacement.