Preston grew up in Alabama and attended the University of Wyoming. After graduating he worked as a member of a soybean breeding program then Bayer, now BASF before joining the Schnable lab in 2017. During his time in the lab Preston collected ground truth and high throughput image data from maize field experiments, while also working to analyzing existing datasets on modifiers of hybrid incompatability in maize collected by the UNL popcorn breeding program and variation in panicle architecture collected by Prof. Sigmon. Preston continued to pursue research, starting PhD project on genome editing for quantity traits in maize and sorghum in David Holding’s lab after completing his masters degree.
Papers As A Member Of The Schnable Lab:
- Sankaran S, Zhang C, Hurst JP, Marzougui A, Sivakumar ANV, Li J, Schnable JC, Shi Y (2020) “Investigating the potential of satellite imagery for high-throughput field phenotyping applications.” SPIE Defense + Commercial Sensing (Conference Preceedings) doi: 10.1117/12.2558729