About

Cody Greer is a highly skilled Machine Learning Software Engineer at Google with a passion for building intelligent systems. With a background in neuroscience, Cody has a deep understanding of the intricacies of living organisms and has applied this knowledge to the development of machine learning tools. Cody's expertise lies in computer vision, robotics, and cloud computing projects. Cody began his career in academia, where he built a microscope to collect data from the brains of living organisms and developed machine learning tools to analyze the data. After completing his PhD in Neuroscience from Washington University in St. Louis, Cody moved to industry where he has worked as a researcher and engineer on a variety of projects. At Google, Cody is responsible for the design and construction of intelligent systems that help solve complex problems. He has a strong background in ML, software engineering, computer vision, and research science, which enables him to develop innovative solutions that meet the needs of Google's clients. Prior to joining Google, Cody worked as the Lead Computer Vision Engineer at Elementary Robotics, where he developed computer vision algorithms for autonomous robots. He also worked as a Postdoctoral Researcher at Washington University in St. Louis, where he conducted research on the neural mechanisms underlying decision-making. Cody holds a PhD in Neuroscience from Washington University in St. Louis and a Bachelor of Science in Biology from the University of Kentucky. He has 4.78 years of relevant experience and is highly skilled in ML, software engineering, computer vision, and research science. Cody is a valuable member of the Google team and is committed to developing innovative solutions that help solve complex problems.