Dr. Shuwu Zhang graduated from the College of Plant Protection, Gansu Agricultural University, with a PhD in Agronomy in June 2017. In July of the same year, he joined the faculty of the Department of Plant Pathology at the College of Plant Protection, Gansu Agricultural University. In 2016 and 2018, he served as a short-term visiting scholar at California State University, Fresno, conducting research and applications of CRISPR/Cas9 gene editing technology. He is currently a Fuxi Top Talent of Gansu Agricultural University, a recipient of the Gansu Province Outstanding Youth Fund, a member of the International Biocontrol Organization in the Asia Pacific region, a member of the Gansu Fruit Industry System, a member of the Gansu Plant Protection Society, and a reviewer for international journals such as Biological Control, Biocontrol, and Crop Protection. His research focuses on the biological control of plant diseases and on revealing the control mechanisms of plant diseases by biocontrol microorganisms using multi-omics association analysis.
Dr. Shuwu Zhang graduated from the College of Plant Protection, Gansu Agricultural University, with a PhD in Agronomy in June 2017. In July of the same year, he joined the faculty of the Department of Plant Pathology at the College of Plant Protection, Gansu Agricultural University. In 2016 and 2018, he served as a short-term visiting scholar at California State University, Fresno, conducting research and applications of CRISPR/Cas9 gene editing technology. He is currently a Fuxi Top Talent of Gansu Agricultural University, a recipient of the Gansu Province Outstanding Youth Fund, a member of the International Biocontrol Organization in the Asia Pacific region, a member of the Gansu Fruit Industry System, a member of the Gansu Plant Protection Society, and a reviewer for international journals such as Biological Control, Biocontrol, and Crop Protection. His research focuses on the biological control of plant diseases and on revealing the control mechanisms of plant diseases by biocontrol microorganisms using multi-omics association analysis.