{"id":352,"date":"2010-08-24T18:52:48","date_gmt":"2010-08-25T01:52:48","guid":{"rendered":"http:\/\/depts.washington.edu\/krslab\/"},"modified":"2021-11-24T14:40:36","modified_gmt":"2021-11-24T21:40:36","slug":"members-stanley-gu","status":"publish","type":"page","link":"https:\/\/mathematicalneurooncology.org\/?page_id=352","title":{"rendered":"Members: Stanley Gu"},"content":{"rendered":"<p><strong><img loading=\"lazy\" class=\"alignleft\" title=\"Stanley Gu\" src=\"https:\/\/mathematicalneurooncology.org\/members\/stanleygu_files\/stan.jpg\" alt=\"\" width=\"180\" height=\"244\">Stanley Gu<\/strong><\/p>\n<p><strong>Graduate Student &#8211; BioEngineering<br \/>\nGraduated Spring 2009<br \/>\nBioengineering B.S. <\/strong><\/p>\n<p><strong><a href=\"https:\/\/www.math.washington.edu\/vigre\/\"><span style=\"font-size: small;\">VIGRE<\/span><\/a> Scholar (2009, 2008)<\/strong><br \/>\n<strong><a href=\"https:\/\/www.washington.edu\/uaa\/mge\/apply\/research\/index.htm\"><span style=\"font-size: small;\">Mary Gates<\/span><\/a> Scholar (2008)<\/strong><br \/>\n<strong><a href=\"https:\/\/www.washington.edu\/research\/urp\/amgen\/index.html\"><span style=\"font-size: small;\">AMGEN<\/span><\/a> Scholar (2007)<\/strong><br \/>\n<strong>Biomedical and Health Informatics Research Scholarship (2007)<\/strong><\/p>\n<p>Stanley has developed and enhanced MRI volumetric data acquisition tools using MATLAB, in addition to the collection and measurement of that data. Currently, Stanley is developing a tool for generating simulated positron emission tomography (SPET) from a mathematical model of tumor growth. The end goal of this project is to enable the generation of realistic SPETs to compare with clinical PET scans side-by-side.<\/p>\n<h2>Publications<\/h2>\n<h3>Contributed Works<\/h3>\n<ul>\n<li>Rockne R, Alvord EC Jr., Szeto M,&nbsp;<strong>Gu S<\/strong>, Chakraborty G, Swanson KR: Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy. In: Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy. Ed. Bellomo N, Chaplain M, de Angelis E. Birkhauser, Boston MA. 2008&nbsp;<strong>ISBN 13<\/strong> 978-0817647124<\/li>\n<\/ul>\n<h3>Abstracts<\/h3>\n<ul>\n<li>G Chakraborty,&nbsp;<strong>S Gu<\/strong>, R Rockne, KR Swanson. Predicting metabolic growth patterns from patient-specific anatomic imaging and mathematical modeling of glioblastomas. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.<\/li>\n<li><strong>Gu S<\/strong>, Chakraborty G, Rockne R, Swanson KR. Spatiotemporal Pharmacokinetic\/Pharmacodynamic Radioactive Tracer and Brain Tumor Modeling: A Method for Generating Patient-specific Simulated PET Images. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.<\/li>\n<\/ul>\n<p>Currently a Software Engineer at Google<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Stanley Gu Graduate Student &#8211; BioEngineering Graduated Spring 2009 Bioengineering B.S. VIGRE Scholar (2009, 2008) Mary Gates Scholar (2008) AMGEN Scholar (2007) Biomedical and Health Informatics Research Scholarship (2007) Stanley has developed and enhanced MRI volumetric data acquisition tools using MATLAB, in addition to the collection and measurement of that data. Currently, Stanley is developing &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mathematicalneurooncology.org\/?page_id=352\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Members: Stanley Gu&#8221;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":430,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/352"}],"collection":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=352"}],"version-history":[{"count":6,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/352\/revisions"}],"predecessor-version":[{"id":3971,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/352\/revisions\/3971"}],"up":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/430"}],"wp:attachment":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=352"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}