Dr. Blythe Towal is an engineering leader with over 15 years of experience developing machine perception algorithms and applying deep learning research to inform hardware accelerator design and for use in robotic applications for land, air and sea. As the current Chief of AI at EyePop.ai, she is developing a self-serve platform for computer vision to streamline visual data analytics and application development, enabling easier and broader adoption of these techniques without the need for specialized knowledge. Previously, Blythe served as the VP of software engineering at Saildrone, which manufactures and operates fleets of autonomous sailboats for ocean data collection and analysis at scale. At Shield AI, she led the Scene Understanding team, which developed and deployed computer vision algorithms for quadcopters used to explore unknown and unstructured spaces. Her earlier roles include leading path perception at NVIDIA for autonomous vehicles and deep learning research at Qualcomm, where her team excelled in ImageNet competitions. Blythe holds degrees in Electrical and Biomedical Engineering from the Georgia Institute of Technology and Northwestern University and has worked as a postdoctoral researcher at the California Institute of Technology. In 2012, Blythe was recognized on the Forbes 30 under 30 list in science and healthcare for her graduate and postdoctoral work in bio-inspired engineering of active sensing systems.