Jiaqi Wu 呉 佳齊 · ウー・ジャーチー

I am an evolutionary genomicist in the Applied Animal and Plant Science program at Hiroshima University's School of Applied Biological Science, where I teach animal genetics and breeding. I work at the intersection of comparative genomics, molecular evolution, statistical genetics, and bioinformatics, extracting shared evolutionary principles from large-scale genomic data across mammals, birds and poultry, livestock, insects, and viruses.

To me, animal-breeding genomics and evolutionary genomics are one framework, not two. The same statistical-genomics toolkit that dates mammalian life-history evolution also speaks to poultry and livestock breeding — the origins, population structure, and diversity of native chickens and goats — and to the genomic monitoring of wild mammals for conservation and population management, as in my work on the Asian black bear, Japanese wolves, and bats. I connect the deep history of species divergence with within-species and within-breed diversity, adaptation, and selection on a common footing.

Trained in medicine (BS, Shandong University), bioinformatics (MS, Fudan University, with the late Prof. Yang Zhong and Prof. Masami Hasegawa), and statistical genetics (PhD, The University of Tokyo, with Prof. Hirohisa Kishino), I have since held positions at Tokyo Institute of Technology (JSPS Research Fellow), Tokai University School of Medicine (JST CREST), and Hiroshima University. A recurring theme in my methodological work is whether large-scale analyses are really comparing the same evolutionary object — and building the methods, benchmarks, and reproducible workflows that make sure they are.

From animal genetics and breeding to method development — connecting the deep history of species divergence with within-breed diversity, adaptation, and selection on a common, auditable footing.

Open-source tools I develop and maintain. Methods, validation data, and reproducible workflows are released together.