Myers' research focuses on machine learning approaches for integrating diverse genomic data to make inferences about biological networks. The main purpose of the work is to further understanding of gene function and how genes or proteins interact to carry out cellular processes.
Ph.D. Graduates Mahfuzur Rahman (2021); Justin Nelson (2019); Scott Simpkins (2018); Jean-Michel Michno (2018); Wen Wang (2017); Elizabeth Koch (2017); Rob Schaefer (2015); Benjamin VanderSluis (2014); Roman Briskine (2013); Yungil Kim (2013); Raamesh Deshpande (2013); Joshua Baller (2012; co-advised with Dan Voytas).
Ph.D. in Computer Science, Princeton University (2007) B.S. in Computer Engineering, Southern Methodist University (2002)
Chad Myers joined the Department of Computer Science & Engineering in 2008 and was promoted to full professor in 2019. He currently serves as the Co-Director of Graduate Studies for Bioinformatics and Computational Biology. He was a McKnight Land-Grant Professor from 2011-13 and earned the George W. Taylor Career Development Award in 2013. Myers also earned the National Science Foundation CAREER Award in 2010.