Laura Gauthier
About Laura Gauthier
Laura Gauthier is a Computational Biologist at the Broad Institute in Cambridge, MA, where she has worked since 2014. She holds a PhD in Biomedical Engineering from Johns Hopkins University and has previous experience as an Algorithm Engineer and research assistant.
Work at Broad Institute
Laura Gauthier has been serving as a Computational Biologist at the Broad Institute since 2014. Located in Cambridge, MA, she has contributed to various projects and initiatives within the institute over the past ten years. Her role involves applying computational techniques to biological data, facilitating advancements in genomics and biomedical research.
Previous Experience in Computational Biology
Before her tenure at the Broad Institute, Laura Gauthier worked as an Algorithm Engineer at Reveal Imaging Technologies for four months in 2014. She also gained significant experience at Johns Hopkins University, where she was a PhD student from 2007 to 2013 and an undergraduate/graduate research assistant from 2006 to 2008. These roles provided her with a solid foundation in computational methods and research.
Educational Background in Biomedical Engineering
Laura Gauthier earned her PhD in Biomedical/Medical Engineering from Johns Hopkins School of Medicine, completing her studies from 2007 to 2013. Prior to that, she obtained a Bachelor of Science in Biomedical/Medical Engineering from The Johns Hopkins University, where she studied from 2003 to 2007. This educational background has equipped her with the necessary skills for her career in computational biology.
Research Experience at Johns Hopkins University
During her time at Johns Hopkins University, Laura Gauthier participated in various research roles. She was a Summer Fellow at the Institute for Computation Medicine in 2006 and worked as a National Nanotechnology Infrastructure Network Summer Fellow at Georgia Tech Research Institute in 2005. These experiences contributed to her expertise in computational methods and their applications in medicine.