{"title":"Colin Hill discusses in silico modeling of human cells","authors":"Colin Hill","doi":"10.1016/S1478-5382(03)02379-5","DOIUrl":null,"url":null,"abstract":"<div><p>Colin Hill is the founder of Gene Network Sciences (GNS; <span>http://www.gnsbiotech.com</span><svg><path></path></svg>) and serves as President and Chief Executive Officer. He has extensive scientific experience in the areas of gene network modeling, pioneering the application of methods based in statistical physics and non-linear dynamics to the stochastic dynamics of gene expression. He is the co-founder of a multidisciplinary research effort at Cornell University dedicated to combining computational and experimental approaches to the study of signal transduction pathways. Hill is the co-creator of the Digital Cell™ software environment for the modeling of complex gene networks and biochemical pathways. He earned his BS degree in Physics from Virginia Polytechnic and State University and his MS degrees in Physics from McGill University and Cornell University.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":"1 5","pages":"Pages 155-157"},"PeriodicalIF":0.0000,"publicationDate":"2003-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02379-5","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosilico","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1478538203023795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Colin Hill is the founder of Gene Network Sciences (GNS; http://www.gnsbiotech.com) and serves as President and Chief Executive Officer. He has extensive scientific experience in the areas of gene network modeling, pioneering the application of methods based in statistical physics and non-linear dynamics to the stochastic dynamics of gene expression. He is the co-founder of a multidisciplinary research effort at Cornell University dedicated to combining computational and experimental approaches to the study of signal transduction pathways. Hill is the co-creator of the Digital Cell™ software environment for the modeling of complex gene networks and biochemical pathways. He earned his BS degree in Physics from Virginia Polytechnic and State University and his MS degrees in Physics from McGill University and Cornell University.