From July 2012 through July 2013, Dan was a Postdoctoral Scholar in the Quantitative Imaging Laboratory at Stanford, managed by Professor Daniel Rubin. Dan's research was centered around using statistics and machine learning in order to derive quantitative features from dynamic contrast-enhanced MRI (DCE-MRI) images of malignant breast lesions. These quantitative imaging features may be used in a machine learning model to predict:
Dan matriculated at Stanford University in Fall 2005, He performed his thesis research in space physics in the Stanford VLF Group. Dan's thesis research revolved around the propagation characteristics of natural ELF/VLF electromagnetic emissions from their magnetospheric sources to the ground, as received via Stanford's extensive network of ground stations, especially Palmer Station, Antarctica. He defended his thesis research on November 16, 2010. You may download the slides and watch the defense on YouTube. Dan graduated with the Ph.D. in March, 2011; you can download a copy of his thesis.
See Dan's LinkedIn profile at http://www.linkedin.com/pub/daniel-golden/59/818/7b8 for more information.