Cambridge, UK, was the clear choice for the first lab established outside of the United States, due to its rich history as a centre of higher learning and growing global impact as a leading high-tech hub. From a beginning of just three researchers in 1997, to over 130 researchers and engineers today, the lab has established itself as a highly credible academic partner and flowing pipeline of technology transfers into the Microsoft business.
The freedom of enquiry enabled by Microsoft’s approach to basic and applied research, coupled with the diversity of researchers and engineers in the Cambridge lab – ranging from sociologists, mathematicians, computer scientists, biological scientists and interaction designers – has produced contributions to some of Microsoft’s most successful products and services.
We are excited to be part of a company that is unreservedly committed to pushing the boundaries of what is possible, in order to create innovative solutions and break-through ideas that will empower every person and every organisation on the planet to achieve more.
Sparse Bayesian Registration of Medical Images for Self-Tuning of Parameters and Spatially Adaptive Parametrization of DisplacementsLoic le Folgoc, Herve Delingette, Antonio Criminisi, Nicholas Ayache, in Medical Image Analysis, Elsevier, December 1, 2016,
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision modelsVarun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler, in Computer Vision and Image Understanding, Elsevier, October 1, 2016,
Efficient and Precise Interactive Hand Tracking through Joint, Continuous Optimization of Pose and CorrespondencesJonathan Taylor, Lucas Bordeaux, Thomas Cashman, Bob Corish, Cem Keskin, Eduardo Soto, David Sweeney, Julien Valentin, Benjamin Luff, Arran Topalian, Erroll Wood, Sameh Khamis, Pushmeet Kohli, Toby Sharp, Shahram Izadi, Richard Banks, Andrew Fitzgibbon, Jamie Shotton, ACM, July 11, 2016,
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark InformationYoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi, July 6, 2016,
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark InformationY. Lewenberg, Y. Bachrach, S. Shankar, A. Criminisi, Antonio Criminisi, in Intl Joint Conference on Artifical Intelligence (IJCAI), July 1, 2016,
Combined Changes in Wnt Signalling Response and Contact Inhibition Induce Altered Proliferation in Radiation Treated Intestinal CryptsSara-Jane Dunn, James M. Osborne, Inke S. Nathke, April 6, 2016,
Decoding the regulatory network of early blood development from single-cell gene expression measurementsNature Publishing Group, February 9, 2016,
The neuroepithelial basement membrane serves as a boundary and a substrate for neuron migration in the zebrafish hindbrainPaul Grant, Cecilia Moens, BioMedCentral, March 29, 2010,
Below you will find useful information about visiting Microsoft Research in Cambridge, for enquiries please email email@example.com.
Please note that there is no visitor parking available on-site. The lab is almost next to Cambridge Rail Station, so we recommend travel to the lab by train, where possible.
Train Travel Information
Taxi and Transfer Information
Taxi travel within Cambridge and surrounding areas: Panther Taxis +44 (0) 1223 715 715
Airport/longer distance transfers: Executive Car Services +44 (0) 1223 212 122
Air Travel Information
Cambridge is close to three international airports in addition to three regional airports. London Stansted is the closest airport.
There is no visitor parking available on site.
Cycle Travel Information
There are cycle stands available outside the lab.
Coach Travel Information
For coach times and fares, visit the National Express Website.
Local Travel Information
Find out more about transportation, travel services and general tourist information for Cambridge on the Visit Cambridge Website
Granta Place Mill Lane, Cambridge, CB2 1RT, United Kingdom
+44 1223 259988
Gonville Place, Cambridge, CB1 1LY, United Kingdom
+44 1223 366611
Downing Street, Cambridge CB2 3DT, United Kingdom
+44 1223 464491
You can find further accommodation options here.