- Genome evolution
- Stress biology
- Bioinformatics
- +۷ مورد دیگر
Shinhan Shiu is a Professor at the Department of Computational Mathematics, Science and Engineering and holds a secondary appointment in Plant Biology at Michigan State University. His research integrates computational approaches with plant genetics to understand genome evolution, stress biology, and gene regulation. Department of Computational Mathematics, Science and Engineering, Michigan State University Plant Biology, Michigan State University Molecular Plant Sciences Program, Michigan State University Genetics & Genome Sciences Program, Michigan State University Cell & Molecular Biology Program, Michigan State University Shiu's research focuses on genome evolution, stress biology, and the application of machine learning in predictive plant biology. His work explores how genetic and environmental information translate into phenotypes and leverages computational methods to improve genomic prediction and understanding of plant stress responses. Recent publications highlight the use of machine learning in identifying stress-related genes, modeling transcriptional responses to environmental stimuli, and developing computational tools for plant phenotyping. His lab emphasizes collaborative and inclusive training of future scientists, with a focus on interdisciplinary communication and critical thinking. Red Cedar Distinguished Professor, Michigan State University The Shiu Lab fosters an energetic, collaborative environment and engages in outreach to promote science education. The team develops software tools and resources for plant genomics, with applications in agriculture and evolutionary studies.








