Dr Yiqiao Song is a scientific advisor at Schlumberger-Doll Research in Cambridge MA and also works part-time at Martinos Center of Biomedical Imaging of Massachusetts General Hospital. His research involves development of nuclear magnetic resonance and imaging techniques and instrumentation to understand complex materials and fluids. His interest focuses on the physics of diffusion dynamics in porous media and biological tissues and the development of multi-dimensional experimental methods and numerical inversion algorithms. These multi-dimensional experiments have been broadly used in research and industrial applications. One of his current areas of interest is the Bayesian theory, uncertainty, and machine learning as a means to optimize NMR/MRI/NQR data acquisition in realtime in order to enhance the speed and quality of the experiments and for robust/automated applications. He is a fellow of American Physical Society, and a member of the Editorial Board of Journal of Magnetic Resonance and Chinese Journal of Magnetic Resonance.