معرفی
Daniel Harrison Chitwood is an Associate Professor at Michigan State University, holding appointments in the Department of Computational Mathematics, Science and Engineering and the BioMolecular Science Gateway. As a dual-trained computational scientist and plant biologist, he emphasizes algorithmic approaches to plant science and fosters equity in interdisciplinary collaborations across cultures, countries, and disciplines.
His research integrates machine learning and plant morphology to model leaf shape variation, analyze herbarium specimens, and predict tissue identity from gene expression. Recent work explores international education frameworks and the impact of terroir on vineyard leaf morphology.
Publications highlight his focus on morphometrics, phylogenomics, and data-driven agriculture, with applications in synthetic biology and historical biogeography. While no awards or student advisement details are listed, his work emphasizes inclusive scientific practices.
