Kyle Harrington
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about | research | software | teaching |
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I am a Staff Software Engineer on the Chan Zuckerberg Initiative, Science, Imaging team.
Research: computational methods in the study of biological and physical processes
Context: scientific computing, artificial life, and computational/theoretical biology
Tools: image analysis, machine learning, functional programming, and simulation
My work has included:
- design and development of, sciview, a modern 3D visualization tool for scientific image analysis (Guenther and Harrington, 2020)
- 3D whole organism image segmentation of zebrafish vascular development (Daetwyler et al, 2019)
- machine learning with differentiable gene-regulatory networks (Wilson et al, 2018)
- predictive computational modeling of cellular mechanisms of vascular development (Costa et al, 2016)
- simulation-driven design and experimental validation of microdroplet-based chemical computing elements (Wang et al, 2016)
1. Selected publications:
- Harrington, K., and Pollack, J., (2019) "Escalation of Memory Length in Finite Populations". In Artificial Life, in press. (preprint bioRxiv 130583, pdf)
- Costa G.*, K. Harrington*, H. Lovegrove*, D. Page, S. Chakravartula, K. Bentley, S. Herbert (2016) "Asymmetric division coordinates collective cell migration in angiogenesis". In Nature Cell Biology, Vol. 18, pp. 1292–1301. link * Joint primary author
- Wang, A. L., J. M. Gold, N. Tompkins, M. Heymann, K. I. Harrington, and S. Fraden, (2016) "Configurable NOR Gate Arrays from Belousov-Zhabotinsky Micro-droplets". In European Physics Journal: Special Topics, Vol. 225, no. 1, pp. 211-227. pdf
- Harrington, K. I. S., (2016) "A Circuit Basis for Morphogenesis". In Theoretical Computer Science, Vol. 633, pp. 28-36. pdf