I am an assistant professor at the University of Idaho, Moscow.
Research: computational methods in the study of biological and physical processes
Context: scientific computing, artificial life, and computational/theoretical biology
Tools: machine learning, functional programming, image analysis, 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 vascular image segmentation of zebrafish 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)
You may know me from from my time at: HHMI Janelia Research Campus, DARPA, Center for Systems Biology Dresden, Max Planck Institute for Cell Biology and Genetics, University of Toulouse, Tufts University, Harvard Medical School, Brandeis University, University of Massachusetts Amherst, Hampshire College, or perhaps somewhere else
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.
* Joint primary authors
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