Summary
Qian Feng is a postdoctoral researcher and quantitative geneticist based in Melbourne with eight years of experience applying statistical genomics to infectious disease and crop breeding. Currently at The University of Queensland, she develops methods to detect selection signatures across diverse ancestries and has applied statistical techniques to malaria DBLa tag analysis, allelic age estimation, and genomic prediction for cotton. Trained with a PhD from the University of Melbourne and advanced degrees in epidemiology and mathematics, she bridges rigorous theory with real-world genomic datasets. As a CERC fellow at CSIRO, she brings interdisciplinary fluency between epidemiology, population genetics, and practical breeding programs, often translating complex models into actionable insights for public health and agriculture.
8 years of coding experience
Master's degree, Epidemiology and Health Statistics, GPA: 3.72/4.00, Master's degree, Epidemiology and Health Statistics, GPA: 3.72/4.00 at Renmin University of China
Bachelor's degree, Mathematics and Applied Mathematics, 3.8/4.0, Bachelor's degree, Mathematics and Applied Mathematics, 3.8/4.0 at China Agricultural University
The University of Melbourne