Kristin M. Tolle, Ph.D. is a Director of Program Management in Microsoft External Research, Health and Wellbeing team. Since joining Microsoft, Dr. Tolle has applied for several patents and worked for several product teams including the Natural Language Group, Visual Studio, and Excel. Prior to joining Microsoft, Kristin was a Research Fellow for the National Library of Medicine and a Research Associate at the University of Arizona Artificial Intelligence Lab managing the group on medical information retrieval and natural language processing. She earned her Ph.D. in Management of Information Systems with a minor in Computational Linguistics. She also has a Bachelors and Masters of Science in Computer Information Systems.
Her research interests include, natural language processing, automatic ontology capture, medical data mining, medical data confidentiality, body sensors, body sensor networks, and medical information retrieval. Her External Research funding activities include computational challenges associated with genome-wide association studies (GWAS) and devices, sensors and mobility as technologies for the enablement of global public healthcare.
For more information, see Health and Wellbeing.
- David H. Nguyen, Gabriela Marcu, Gillian R. Hayes, Khai N. Truong, James Scott, Marc Langheinrich, and Christof Roduner, Encountering SenseCam: Personal Recording Technologies in Everyday Life, in Proceedings of UbiComp 2009, Association for Computing Machinery, Inc., September 2009
- Victor Lempitsky, Michael Verhoek, Alison Noble, and Andrew Blake, Random Forest Classification for Automatic Delineation of Myocardium in Real-time 3D Echocardiography, in FIMH 2009 [best paper award], Springer Verlag, June 2009
- Oliver Stegle, Anitha Kannan, Richard Durbin, and John M. Winn, Accounting for Non-genetic Factors Improves the Power of eQTL Studies, in International Conference on Research in Computational Molecular Biology, 2008
- Antonio Criminisi, Toby Sharp, and Andrew Blake, GeoS: Geodesic Image Segmentation, in Proc. European Conference on Computer Vision (ECCV), Springer, 2008
- Jim C. Huang, Anitha Kannan, and John M. Winn, Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations, in International Conference on Intelligent Systems for Molecular Biology, 2007
- Umar Syed, Alex Slivkins, and Nina Mishra, Adapting to the Shifting Intent of Search Queries, in NIPS (Neural Information Processing Systems Conference), December 2009
- Antonio Criminisi, Toby Sharp, and Khan Siddiqui, Interactive Geodesic Segmentation of n-Dimensional Medical Images on the Graphics Processor, in Radiological Society of North America (RSNA), December 2009
- Qiang FU, Jian-Guang LOU, Yi WANG, and Jiang LI, Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis, in International conference on Data Mining, in press, IEEE, December 2009
- Debprakash Patnaik, Srivatsan Laxman, and Naren Ramakrishnan, Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis, in Proceedings of The 2009 IEEE International Conference on Data Mining (ICDM 2009), IEEE, December 2009
- Antonio Criminisi, Jamie Shotton, Stefano Bucciarelli, and Khan Siddiqui, Automatic Semantic Parsing of CT Scans via Multiple Randomized Decision Trees, in Radiological Society of North America (RSNA), December 2009
Mobile Health Links
mHealth Summit: http://research.microsoft.com/en-us/events/mhealth2009/
WorldBank m-Health: From Policy to Implementation
http://go.worldbank.org/TGJ4U9KBG0
United Nations Foundation mHealth for development report: http://www.unfoundation.org/global-issues/technology/mhealth-report.html
InterAmerican Bank's Mobile Citizen site: www.iadb.org/mobilecitizen
