Chad Myers Computational biologist
Chad Myers’ research focuses on machine learning approaches for integrating diverse genomic data, with the aim of making inferences about biological networks. The main purpose of his work is to further the understanding of gene function and how genes or proteins interact to carry out cellular processes.
University of Minnesota George W. Taylor Career Development Award, 2013.
Canadian Institute for Advanced Research, Genetic Networks Program Scholar, 2012-present.
University of Minnesota McKnight Land-Grant Professorship, 2011-2013.
NSF CAREER Award, 2010.
Deshpande R*, Asiedu A*, Klebig M, Sutor S, Kuzmin E, Piotrowski J, Shin SH, Yoshida M, Costanzo M, Boone C, Wigle DA, Myers CL. A comparative genomic approach for identifying synthetic lethal interactions in human cancer.
Stessman HA, Baughn LB, Sarver A, Xia T, Deshpande R, Mansoor A, Linden MA, Doloff N, Janz S, Myers CL, Van Ness B. Profiling bortezomib resistance and identification of secondary therapies in a mouse myeloma model.
Koch E, Costanzo M, Bellay J, Deshpande R, Chatfield-Reed K, Chua G, D’Urso G, Andrews B, Boone C, Myers CL. Conserved rules govern genetic interaction degree across species. Genome Biol. 2012; 13(7): R57.
Swanson-Wagner R*, Briskine R*, Schaefer R, Hufford MB, Ross-Ibarra J, Myers CL, Tiffin P, Springer NM. Reshaping of the maize transcriptome by domestication. Proc Natl Acad Sci USA 2012; 109 (29): 11878-11883.
M. Costanzo et al, "The genetic landscape of a cell," Science, vol. 327, no. 5964, pp. 425-431, Jan. 2010.
Fellow Genetic Networks
University of MinnesotaComputer Science and Engineering department
PhD (Computer Science) Princeton University
BS (Computer Engineering and Mathematics) Southern Methodist University
BA (Physics) Southern Methodist University
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