Huan Wang
About Huan Wang
Huan Wang is a Computational Biologist II at the Broad Institute of MIT and Harvard, where he has worked since 2021. He has a background in agronomy, holding a Ph.D. from Kansas State University and experience in various roles within the field of data science and teaching.
Work at Broad Institute
Huan Wang has been employed at the Broad Institute of MIT and Harvard as a Computational Biologist II since 2021. In this role, he contributes to various computational biology projects in Cambridge, Massachusetts. His work focuses on leveraging computational methods to analyze biological data, supporting research initiatives at the institute.
Previous Experience in Data Science
Prior to joining the Broad Institute, Huan Wang worked at Indigo as a Data Scientist II from 2020 to 2021. He also served as an Agronomic Data Scientist at Indigo from 2018 to 2020. His experience in data science includes applying statistical methods and data analysis techniques to enhance agricultural practices.
Academic Background in Agronomy
Huan Wang earned his Ph.D. in Agronomy from Kansas State University, where he studied from 2014 to 2017. He also holds a Bachelor of Science in Agronomy from China Agricultural University, completed from 2008 to 2012. His academic training provided a strong foundation in agricultural sciences and research methodologies.
Teaching and Instruction Roles
Huan Wang has held various instructional roles at Kansas State University. He served as an Instructor for the KSU KARA Summer Field Day from 2013 to 2014 and conducted a sUAS training workshop in 2014. Additionally, he worked as a Graduate Teaching Assistant for Agron 655 Site Specific Management in 2017, contributing to the education of students in agronomy.
Research Experience
Huan Wang has extensive research experience, having worked as a Graduate Research Assistant at Kansas State University from 2013 to 2017. His research activities focused on agronomy, where he engaged in projects that advanced knowledge in the field. He also completed an internship as a Digital Agronomist at The Climate Corporation in 2017.