Jishu Xu
About Jishu Xu
Jishu Xu is a Computational Scientist with extensive experience in bioinformatics and population genetics. He currently works at Rush University Medical Center and the University of Tübingen, and has held positions at the Broad Institute of MIT and Harvard, Brigham and Women's Hospital, and the University of Michigan.
Work at Broad Institute
Jishu Xu currently holds the position of Computational Scientist at the Broad Institute of MIT and Harvard. Xu has been with the institute since 2017, contributing to various projects in the field of computational biology. Previously, Xu worked as a Computational Biologist at the same institute for a duration of 10 months from 2016 to 2017. This experience has allowed Xu to develop expertise in next-generation sequencing (NGS) processing and analysis.
Education and Expertise
Jishu Xu has a strong educational background in applied mathematics and applied physics. Xu earned a Master of Science (MS) in Applied Mathematics from Eastern Michigan University, studying from 2007 to 2008. Prior to this, Xu obtained a Bachelor of Science (BS) in Applied Physics from Beijing Institute of Technology, completing the degree from 1997 to 2001. Xu's expertise includes population genetics and epigenetics, which are critical areas in the field of computational biology.
Background in Bioinformatics
Before joining the Broad Institute, Jishu Xu worked as a Bioinformatician at Brigham and Women's Hospital from 2012 to 2016. This role involved applying computational methods to analyze biological data. Xu also served as a Research Specialist at the University of Michigan from 2008 to 2012, where Xu gained valuable experience in research and data analysis in a university setting.
Current Positions
In addition to the role at the Broad Institute, Jishu Xu is currently an Instructor and Scientist at Rush University Medical Center, a position held since 2019. Xu also works as a Researcher at the University of Tübingen in Germany, having started in 2020. These roles reflect Xu's ongoing commitment to advancing research in computational biology and bioinformatics.