Tang<img alt="Yinjie Tang" src="/Profiles/PublishingImages/Tang_Yinjie.jpg?RenditionID=6" style="BORDER:0px solid;" />Associate ProfessorYinjie Tang - Energy, Environmental & Chemical Engineering - Earned a National Science Foundation CAREER Award<div>​​PhD, University of Washington, 2004</div><div>MS, Tianjin University, 1999</div><div>BS, Tianjin University, 1997</div><p>  <a href=""><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p><p>​​Francis Ahmann Career Development Associate Professor</p><h3>Research<br/></h3>Yinjie Tang's research involves two fields including the bioremediation of toxic compounds such as heavy metals and aromatic compounds, and the analysis of cellular metabolic network using mass spectrometry based tools. His research provides important knowledge of cellular metabolic network for rational genetic engineering microbes of biofuel production.<br/> <br/>In 2010, he earned a National Science Foundation CAREER Award: "Development of 13C-assisted Metabolic Flux Analysis Tools for Metabolic Engineering of Cyanobacteria."​<div><h3>​Biography</h3>Professor Tang joined the School of Engineering & Applied Science faculty in 2008. From 2004 to 2008, Professor Tang worked as a post-doctoral fellow at the Lawrence Berkeley National Laboratory. His expertise is in analyzing and metabolic engineering of environmental microorganisms.<br/> <br/>Professor Tang has served as the reviewer for over 30 journals in biotechnology and microbiology fields. He has also served in review panels for NSF, EPA and several private funding agencies. He received NSF CAREER and Ralph E. Powe Junior Faculty Enhancement Awards in 2010 and earned a Department Chair’s Award for Outstanding Teaching in 2013. At Washington University, he has taught multiple classes including Process Control, Metabolic Engineering, International Experience, Fluid Mechanics, and Bioprocess Engineering.​</div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-3441<br/><a href=""></a><br/>Brauer Hall, Room 1025<br/></p><a href="">play video</a><ul><li>​<a href="/news/Pages/Environmental-engineers-to-study-clean-air,-water,-energy-with-NSF-grants.aspx" style="background-color: #ffffff;">Environmental engineers to study clean air, water, energy with NSF grants</a><br/></li><li><a href="/news/Pages/Using-machine-learning-to-predict-success-of-biofuels.aspx">Using machine learning to predict success of biofuels</a> </li></ul>