Jonathon O’Brien, PhD

About Jonathon

With a decade of experience in collaborative data analysis and method development in mass spectrometry proteomics, Jonathon earned his PhD in Biostatistics at UNC-Chapel Hill. His work on label-free proteomics challenges was presented at the American Society of Mass Spectrometry. A post-doctoral fellowship at Harvard Medical School's Gygi Lab deepened his expertise in isobaric proteomics. Jonathon's five years at Calico Life Sciences involved biotech industry contributions, such as pipeline development and methodology creation. Recognizing the potential to aid scientists through automation and cloud-based statistical consulting, Jonathon founded an organization dedicated to advancing biological sciences.

Select Publications

1. O'Brien, J. J., Raj, A., Gaun, A., Waite, A, Li, W., Hendrickson, D.G., Olsson, N. & McAllister, F. E. (2023). A data analysis framework for combining multiple batches increases the power of isobaric proteomics experiments. Nature Methods.
2. O’Brien, J. J., O’Connell, J. D., Paulo, J. A., Thakurta, S., Rose, C. M., Weekes, M. P., ... & Gygi, S. P. (2018). Compositional Proteomics: Effects of Spatial Constraints on Protein Quantification Utilizing Isobaric Tags. Journal of proteome research, 17(1), 590-599.
3. O'Brien, J. J., Gunawardena, H. P., Paulo, J. A., Chen, X., Ibrahim, J. G., Gygi, S. P., & Qaqish, B. F. (2018). The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments. The annals of applied statistics, 12(4), 2075.