https://engineering.wustl.edu/Profiles/Pages/Miaomiao-Zhang.aspx183Miaomiao Zhang<img alt="Miaomiao Zhang" src="/Profiles/PublishingImages/Miaomiao%20Zhang.jpg?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorMiaomiao Zhang - Computer Science & Engineering - Analyzes anatomical shape changes to better understand diseases<p>​PhD, University of Utah, 2015<br/>MS, East China Normal University, 2010<br/>BS, Henan Normal University, 2008<br/></p><p> <a href="https://scholar.google.com/citations?user=EGBMBTwAAAAJ&hl=en"> <img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a> </p>https://mzhanglab.wustl.edu/<p>​Assistant Professor<br/></p><h3>​Research</h3><p>Miaomiao Zhang’s current research focuses on developing novel models at the intersection of statistics, mathematics, and computer engineering in the field of medical and biological imaging. More specifically, her current research projects include image registration/segmentation, statistical shape analysis to quantify anatomical changes, and machine learning with applications to neuroimaging and computer-assisted surgery.<br/></p><h3>Bio</h3><p>Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. Professor Zhang received the Medical Image Computing and Computer Assisted Intervention (MICCAI) young scientist award in 2014 and was a runner-up for the young scientist award in 2016. She is a member of MICCAI society and an area chair for MICCAI 2018. She is also a program committee member in ShapeMI MICCAI 2018.<br/></p><img alt="" src="/Profiles/ResearchImages/M_Zhang_BrainVariability.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-8632<br/>​<a href="mailto:zhang.m@wustl.edu">zhang.m@wustl.edu</a><br/>Jolley Hall, Room 204<br/></p><div class="ms-rtestate-read ms-rte-wpbox" contenteditable="false"><div class="ms-rtestate-notify ms-rtestate-read 76954ebf-3630-48da-b5a0-90b2595dae74" id="div_76954ebf-3630-48da-b5a0-90b2595dae74" unselectable="on"></div><div id="vid_76954ebf-3630-48da-b5a0-90b2595dae74" unselectable="on" style="display: none;"></div></div>