Computer Vision / Applied Machine Learning Researcher

Emerald develops novel neural network models that interpret radio signals to extract human pose, as well as a variety of physiological metrics - breathing, heart rate, sleep quality, sleep apnea etc. We believe that deep learning can revolutionize our ability to understand and interpret wireless signals, similar to the dramatic advances it has brought to computer vision and NLP. Such capabilities will not only transform healthcare, but would augment our intrinsic human senses of sight and sound, allowing us to use wireless signals to “see” through walls and occlusions.