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
- Matthew J. Smith, Sadia E. Ahmed, Drew W. Purves, Stephen Emmott, Lucas N. Joppa, Silvia Caldararu, Piero Visconti, and Tim Newbold, Enabling joined-up decision making with geotemporal information , AGU, 6 October 2015.
- Johannes Meyerholt, Soenke Zaehle, and Matthew J. Smith, Different representations of biological nitrogen fixation cause major variation in projected terrestrial biosphere responses to elevated levels of atmospheric CO2 , AGU, 6 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.
- William R. Weider, Steven D. Allison, Eric A. Davidson, Katerina Georgiou, Oleksandra Hararuk, Yujie He, Francesca Hopkins, Matthew J. Smith, Benjamin Sulman, Katherine Todd-Brown, Ying-Ping Wang, Jianyang Xia, and Xiaofeng Xu, Explicitly representing soil microbial processes in Earth system models, in Global Biogeochemical Cycles, AGU Publications, 1 October 2015.