Summary
Jie W is a data scientist with 11 years of experience combining bioinformatics, genomics, and applied data science to solve real-world plant health problems. With a Ph.D. in Plant Pathology from Michigan State University and postdoctoral work in genomics-enabled plant science, he has built machine learning models and authored deFusion to improve genome annotation. Jie has translated computational insights into practice—developing a widely adopted qPCR diagnostic for a soybean pathogen and running fungicide screening and field trials that improved crop yield. Proficient in Python and R, statistics, large-scale data visualization, and experimental design, he bridges wet-lab rigor and scalable computational analysis. Based in Pleasanton, CA, he brings a practical track record of turning genomic data into diagnostics and management strategies that impact agricultural outcomes.
11 years of coding experience
Bachelor’s Degree, Biology, Bachelor’s Degree, Biology at Nanjing Agricultural University
Doctor of Philosophy (Ph.D.), Plant Pathology and EEBB, Doctor of Philosophy (Ph.D.), Plant Pathology and EEBB at Michigan State University
English, Chinese