Biography – Dr. José Crossa (200 words)
Dr. José Crossa is an internationally recognized scientist in plant breeding, quantitative genetics, and statistical modeling of multi-environment trial (MET) data. With more than four decades of contributions, he has played a pivotal role in advancing modern breeding strategies through rigorous statistical innovation. As a Senior Scientist at the International Maize and Wheat Improvement Center (CIMMYT), he has led the development and application of mixed models, genomic selection, enviromics, and multi-trait multi-environment prediction methods widely adopted across global breeding programs.
He is a coauthor of influential frameworks, including Bayesian genomic prediction models, environmental-covariate-based G×E modeling, and modern multimodal deep learning approaches integrating genomic, phenomic, and ecological data. His research has resulted in more than 600 peer‑reviewed publications and has had a significant impact across agricultural statistics, climate‑smart breeding, and data‑driven genetic improvement.
Dr. Crossa is consistently listed among the Top 1% Highly Cited Researchers by Clarivate and the Stanford/Elsevier Top 2% Scientists, reflecting his global influence. He has collaborated extensively with universities and research institutes worldwide and has mentored numerous graduate students and early‑career scientists. His work continues to bridge classical quantitative genetics with modern AI‑assisted breeding, contributing to accelerating genetic gain and strengthening global food security.
