Scott Funkhouser
About Scott Funkhouser
Scott Funkhouser is a Senior Translational Informatics Scientist currently employed at DNAnexus, where he has worked since 2022. He has a background in genetics and quantitative biology, holding a PhD from Michigan State University and extensive experience in research roles at various institutions.
Current Role at DNAnexus
Scott Funkhouser serves as a Senior Translational Informatics Scientist at DNAnexus. He has held this position since 2022. In this role, he focuses on leveraging informatics to enhance translational research. His expertise contributes to the development of data-driven solutions in the field of genomics.
Previous Experience at DNAnexus
Prior to his current role, Scott Funkhouser worked at DNAnexus as a Statistical Geneticist from 2021 to 2022. In this position, he applied statistical methods to genetic data analysis, supporting various research initiatives aimed at understanding genetic influences on health.
Academic Background
Scott Funkhouser earned his Doctor of Philosophy (PhD) in Genetics and Quantitative Biology from Michigan State University, where he studied from 2013 to 2019. He also holds a Bachelor of Science in Biochemistry from the University of Washington, completed between 2007 and 2011. His academic training laid the foundation for his research career.
Research Experience at University of Colorado Boulder
Scott Funkhouser worked as a Postdoctoral Research Fellow at the University of Colorado Boulder from 2019 to 2021. During this time, he engaged in advanced research projects, further developing his expertise in translational informatics and contributing to scientific knowledge in his field.
Early Career at Michigan State University and University of Washington
Scott Funkhouser began his research career as a Graduate Assistant at Michigan State University from 2013 to 2019. He also served as a Research Scientist at the University of Washington for one year, from 2012 to 2013. These positions provided him with foundational experience in scientific research and data analysis.