Wei Zhou
About Wei Zhou
Wei Zhou is a Postdoctoral Research Fellow currently at the Broad Institute of MIT and Harvard, with a strong background in bioinformatics and statistical genetics. He has held various research and teaching positions at institutions such as the University of Michigan and Brigham Young University.
Current Role at Broad Institute
Wei Zhou serves as a Postdoctoral Research Fellow at the Broad Institute of MIT and Harvard. He has held this position since 2018, contributing to research initiatives in the Greater Boston Area. His work focuses on advancing knowledge in bioinformatics and statistical genetics.
Previous Experience at University of Michigan
Wei Zhou worked at the University of Michigan as a Research Area Specialist Intermediate from 2013 to 2014. During this year-long tenure in Ann Arbor, MI, he engaged in research activities that supported various projects within the institution.
Educational Background
Wei Zhou completed his Doctor of Philosophy (PhD) in Bioinformatics and Statistical Genetics at the University of Michigan from 2014 to 2018. Prior to this, he earned two Master of Science degrees at Brigham Young University, one in Molecular Biology from 2007 to 2010 and another in Statistics from 2010 to 2012. He also holds a Bachelor of Science in Biotechnology from Huazhong University of Science and Technology, completed from 2003 to 2007.
Work Experience at Brigham Young University
At Brigham Young University, Wei Zhou held multiple roles. He was a Statistics Research Assistant from 2010 to 2011, a Statistical Consultant from 2011 to 2012, and a Statistics Teaching Assistant from 2011 to 2012. His experiences at the university contributed to his expertise in statistics and research methodologies.
Graduate Student Research Assistant Role
Since 2014, Wei Zhou has been working as a Graduate Student Research Assistant at the University of Michigan. Over this ten-year period, he has been involved in various research projects, further enhancing his skills in bioinformatics and statistical analysis.