Cait Crawford has spent over two decades in industry doing research and development on systems, software, algorithms and applications. Her work has spanned platforms ranging from the largest supercomputers in the world to low power embedded systems and mobile devices. Most recently, her background in algorithms, performance optimization and embedded systems has led to her projects in machine learning, both deep and shallow, for Decentralized Edge to Cloud AI. She graduated from MIT with an SBME and went on to earn an MSE and PhD from Princeton University in Mechanical and Aerospace Engineering specializing in large scale numerical simulations of physical systems. She is currently a Distinguished Engineer at IBM Research AI and when not making the bits fly at work, she enjoys spending time with her husband and 3 teenage children.