Summary
Zihao Zheng is a Breeding Data Scientist with a Ph.D. in Genetics and Genomics from Iowa State University and a decade of experience applying genomic and transcriptomic analyses to maize breeding. Based at Syngenta, he moves research discoveries into practice using GWAS, TWAS, and machine learning–based prediction models, and partners with engineers to build high-throughput phenotyping pipelines. His work blends deep domain knowledge in agricultural biotechnology with production-oriented data science, enabling scalable candidate gene discovery and trait prediction. Notably, he bridges wet-lab genetics and software-driven phenomics, making him adept at translating complex biological signals into deployable breeding solutions.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Genetics and Genomics, Doctor of Philosophy (Ph.D.), Genetics and Genomics at Iowa State University
Bachelor's degree, Agricultural Biotechnology, Bachelor's degree, Agricultural Biotechnology at South China Agricultural University