Shin-Han Shiu was trained as a microbiologist during his undergraduate years and went on to study receptor biochemistry in University of Wisconsin for his PhD. During the latter part of his PhD years in late 90s, multiple genome projects started, and Shin-Han started to be fascinated with evolution and genome biology questions, and particularly how computational approaches could be used to resolve them. Armed with an interest in the application of computation in biology and in evolution, Shin-Han went on to be a postdoctoral scientist in Institute of Bioinformatics, Helmholtz Zentrum München (then GSF), Germany to learn more about computational biology; and an NIH National Research Service Award Fellow in University of Chicago to gain a better understanding of evolutionary processes.
Since arriving in Michigan State University in 2006, his laboratory has focused on understanding how genome function and evolve, as well as how computational modeling and quantitative approaches can be used to answer biological questions.
FS-17: IBIO341 Introductory genetics
FS-18: PLB400/810 Theories and practices in bioinformatics
 Lloyd JP, Tsai ZTY, Sowers RP, Panchy NL, Shiu SH*. (2018) A model based approach for identifying functional intergenic transcribed regions and non-coding RNAs. Mol. Biol. Evol. 36(6):1422-1436. doi: 10.1093/molbev/msy035
 Uygun S, Seddon AE, Azodi C, Shiu SH (2017) Predictive models of spatial transcriptional response to high salinity. Plant Physiol. 174:450-464. https://doi.org/10.1104/pp.16.01828
 Tsai ZTY, Lloyd J, Shiu SH (2017) Defining functional, genic regions in the human genome through integration of biochemical, evolutionary, and genetic evidence. Mol. Biol. Evol. 34(7):1788-1798. https://doi.org/10.1093/molbev/msx101