Kyle Harrington

about research software teaching
Kyle I. S. Harrington, Ph.D.,
Team Lead, Machine Learning,
Chan Zuckerberg Institute for Advanced Biological Imaging,
Redwood City, CA, USA

I am the Team Lead for Machine Learning at the Chan Zuckerberg Institute for Advanced Biological Imaging.

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:

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



Author: Kyle Harrington

Created: 2024-01-25 Thu 18:59