Emmanuel Miguel Gonzalez

School of Plant Sciences


Dr. Duke Pauli

Educational Background

B.S., Biology, Pacific Lutheran University, minor in Chemistry

Research Interests

Plant Phenomics
Abiotic Stress
Applied Machine Learning
Data Science
Distributed Computing
High Performance Computing

Selected Publications

- Gonzalez, E. M., Zarei, A., Hendler, N., Simmons, T., Zarei, A., Demieville, J., et al. (2023). PhytoOracle: Scalable, Modular Phenomics Data Processing Pipelines. Front Plant Sci 14, 684. doi: 10.3389/FPLS.2023.1112973.
- Zarei, A., Gonzalez, E., Merchant, N., Pauli, D., Lyons, E., and Barnard, K. (2022). MegaStitch: Robust Large-Scale Image Stitching. IEEE Transactions on Geoscience and Remote Sensing 60. doi: 10.1109/TGRS.2022.3141907.
- Pugh, N. A., Thorp, K. R., Gonzalez, E. M., Elshikha, D. E. M., and Pauli, D. (2021). Comparison of image georeferencing strategies for agricultural applications of small unoccupied aircraft systems. The Plant Phenome Journal 4, e20026. doi: 10.1002/PPJ2.20026.
- Cosi, M., Forstedt, J. j., Gonzalez, E., Xu, Z., Peri, S., Tuteja, R., et al. (2021). StarBLAST: a scalable BLAST+ solution for the classroom. Journal of Open Source Education 4, 102. doi: 10.21105/JOSE.00102.