Computational Science

Intersecting computing science with the natural sciences

Whether it is the integration of computing and biology, novel computational tools and methods to predict and mitigate rapid changes occurring in the earth’s life-support systems, or the representations, analysis, and visualization of digitized geographic information, Microsoft Research is committed to providing computational support to unravel the mysteries of science.



Maria Bruna, Jonathan Chapman, and Matthew J Smith, Model reduction for slow-fast stochastic systems with metastable behaviour, in Journal of Chemical Physics, American Institute of Physics, April 2014

Boyan Yordanov, Neil Dalchau, Paul Grant, Michael Pedersen, Stephen Emmott, Jim Haseloff, and Andrew Phillips, A Computational Method for Automated Characterization of Genetic Components, in ACS Synthetic Biology, American Chemical Society, 14 March 2014

Rakesh Agrawal, Behzad Golshan, and Evimaria Terzi, Forming Beneficial Teams of Students in Massive Online Classes, in ACM Conference on Learning at Scale (L@S), ACM, March 2014

James Osborne, Miguel Bernabeu, Maria Bruna, Ben Calderhead, Jonathan Cooper, Neil Dalchau, Sara-Jane Dunn, Alexander Fletcher, Robin Freeman, Derek Groen, Bernhard Knapp, Greg McInerny, Gary Mirams, Joe Pitt-Francis, Biswa Sengupta, David Wright, Christian Yates, David Gavaghan, Stephen Emmott, and Charlotte Deane, Ten simple rules for effective computational research, in PLoS Computational Biology, vol. 10, no. 3, pp. e1003506, PLoS Computational Biology (Public Library of Science Computational Biology), , March 2014

Joppe W. Bos, Craig Costello, Patrick Longa, and Michael Naehrig, Selecting Elliptic Curves for Cryptography: An Efficiency and Security Analysis, no. MSR-TR-2014-19, February 2014

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