The mission of the Computational Science Lab is to pioneer new kinds of science to address important scientific and societal challenges, and create new kinds of science-based technology innovation. To achieve this we have established a new kind of Laboratory, of new kinds of scientists, pioneering new kinds of computational methods, and new kinds of scientific software tools.
Biological Computation GroupThe Group is focused on the development and advancement of a new field of Biological Computation, that aims to transform our understanding of biology by considering biological systems as living computation, and to develop the techniques needed to design and program computation in living systems.
Computational Ecology and Environmental Science GroupThe Group is focused on enabling, making and accelerating fundamental advances in our understanding of, and ability to predict the impact of future changes to, the global climate and ecological systems and processes: Earth’s life support system.
3 Tech Giants Quietly Investing in Synthetic Biology: Microsoft's newest programming language...
June 2014: Paper in New Scientist: Windows bug-testing software cracks stem cell programs
June 2014: Paper in The Scientist: Minimal Toolkit for Stem Cell Self-Renewal
June 2014: Paper from Inside Microsoft Research-technet.com: Theorem Prover Sheds New Light on Stem-Cell Behavior
- Yiqi Luo, Zheng Shi, Lifen Jiang, Jianyang Xia, Ying Wang, Manoj Kc, Junyi Liang, Xingjie Lu, Shuli Niu, Anders Ahlstrom, Oleksandra Hararuk, Alan Hastings, Forrest Hoffman, Belinda E. Medlyn, Martin Rasmussen, Matthew J. Smith, Kathe E. Todd-Brown, and Yingping Wang, Terrestrial carbon storage dynamics: Chasing a moving target, American Geophysical Union, 5 November 2015.
- Alistair Bailey, Neil Dalchau, Rachel Carter, Stephen Emmott, Andrew Phillips, Jörn M. Werner, and Tim Elliott, Selector function of MHC I molecules is determined by protein plasticity, in Scientific Reports, pp. 14928, Nature Publishing Group, 20 October 2015.
- S. Caldararu, D. W. Purves, and M. J. Smith, The effect of using the plant functional type paradigm on a data-constrained global phenology model, in Biogeosciences Discussions, 19 October 2015.
- Matthew J. Smith, Drew W. Purves, Lucas N. Joppa, Stephen Emmott, Vassily Lyutsarev, Christopher Bishop, Paul I. Palmer, Ben Calderhead, and Mark Vanderwel, Exposing variation in climate change risk assessment, AGU, 6 October 2015.
- Matthew J. Smith, Derek P. Tittensor, Vassily Lyutsarev, and Eugene Murphy, Inferred support for disturbance-recovery hypothesis of North Atlantic phytoplankton blooms, in Journal of Geophysical Research - Oceans, AGU Publishing, 6 October 2015.