YINS PhD candidate Mehraveh Salehi received the Young Scientist Award from the 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 (MICCAI) on September 13th for her paper, “A Submodular Approach to Create Individualized Parcellations of the Human Brain” to be published in book form in the MICCAI proceedings. Mehraveh is an Electrical Engineering PhD candidate supervised by Todd Constable (Professor of Radiology & Biomedical Imaging) and Amin Karbasi (Assistant Professor of Electrical Engineering and Computer Science) in the Yale Institute for Network Science. She’ll complete her PhD program in 2019.  The paper was co-written by Amin Karbasi, Dustin Scheinost from Magnetic Resonance Research Center (MRRC) and Todd Constable from MRRC. Mehraveh is interested in applications of machine learning algorithms and submodularity in the human brain. More specifically, her research is aimed at developing models that relate human behavior to individual brain functional connectivity patterns as measured by fMRI. When asked about her unusual combination of dual advisors, Mehraveh said, “That’s the incredible thing about being at YINS! I can apply my research interests across disciplines, and be supported by faculty in multiple schools and departments. I think this is the future model for many PhD candidates, and is well-suited for the big data revolution, applying mathematics, engineering, computer science, and machine learning to medicine. I feel lucky to experience the new interdisciplinary Yale University.” After she completes her PhD, she hopes to work for Google Brain and eventually start her own company, which will combine her interests in machine learning and cognitive neuroscience.