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Yao-Cheng Lin is a plant computational genomicist whose research focuses on how plant genomes evolve, adapt, and generate phenotypic diversity. His work integrates comparative genomics, transposable element biology, epigenomics, genome engineering, machine learning, and high-throughput plant phenotyping to study plant–environment interactions and crop resilience. By combining computational analysis with experimental biology, his research aims to connect genome variation with regulatory change, plant performance, and useful traits for crop improvement.

We believe that understanding how plant genomes evolve, regulate, and adapt is essential for building the next generation of resilient crops.

The Bioinformatics and Computational Genomics group studies how plant genomes evolve and shape traits under changing environments. We combine comparative genomics, transposable element biology, genome engineering, machine learning, and high-throughput phenotyping to connect genome variation with plant performance. Our goal is to turn genome-scale data into biological insight and practical tools for crop improvement and climate-resilient agriculture.