Kristin M. Tolle is the Director of the Data Science Initiative in Microsoft Research Outreach, Redmond, WA.
Since joining Microsoft in 2000, Dr. Tolle has acquired numerous patents and worked for several product teams including the Natural Language Group, Visual Studio, and the Microsoft Office Excel Team. Since joining Microsoft Research’s outreach program in 2006, she has run several major initiatives from Biomedical computing and environmental science to more traditional computer and information science programs around natural user interactions and data curation. She was also directed the development of the Microsoft Translator Hub and the Environmental Science Services Toolkit.
Dr. Tolle is an editor, along with Tony Hey and Stewart Tansley, of one of the earliest books on data science, The Fourth Paradigm: Data Intensive Scientific Discovery. Her current focus is develop an outreach program to engage with academics on data science in general and more specifically around using data to create meaningful and useful user experiences across devices platforms.
Prior to joining Microsoft, Tolle was an Oak Ridge Science and Engineering 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.
Dr. Tolle's present research interests include global public health as related to climate change, mobile computing to enable field scientists and inform the public, sensors used to gather ecological and environmental data, and integration and interoperability of large heterogeneous environmental data sources. She collaborates with several major research groups in Microsoft Research including eScience, computational science laboratory, computational ecology and environmental science, and the sensing and energy research group.
- Environmental Science Services Initiative: Development Director of this project for creating a common, easy-to-use infrastructure and user experience that gives ready access to existing and new Microsoft Research tools targeted at climate change and environmental science.
- National Flood Interoperability Experiment: Working with researchers at several major institutions as well as government agencies who provide much of the data to develop a real-time flood mapping system to improve better National disaster response.
- DataUp: Project Director and Development Manager to create a data curation tool to enable environmental scientists to preserve and share their datasets (largely in Microsoft Excel) with the broader community.
- Microsoft Translator Hub: Product and Program Director to create a tool to enable the creation of custom translation models for businesses and language communities.
- Cultural Preservation Initiative: Primary member of this group focused on language preservation.
- Devices Sensors and Mobility for Healthcare: Founder and Program Director for this program founded in 2006 to seed the development of over 25 mHealth projects and culminated in starting an annual mHealth Summit run by the Foundation for the National Institutes of Health.
- Computational Challenges in Genome Wide Association Studies: Program Manager for this program designed to further computer science research in support of furthering scientific discoveries in GWAS.
- UW Cloud Day
12 November 2015
- Big Data Congresso
23-24, November 2015
Mexico City, Mexico
2-4 December 2015
14-18 December 2015
San Francisco, CA
- Microsoft Research India, Faculty Summit
28-29 January 2016
22-25 December 2016
San Francisco, CA
11-14 April 2016
Montreal, Quebec, Canada
13-17 August 2016
San Francisco, CA
- Bokai Cao, Hucheng Zhou, Guoqiang Li, and Philip S. Yu, Multi-view Machines, WSDM, February 2016.
- Dan Alistarh, Jennifer Iglesias, and Milan Vojnovic, Min-Max Hypergraph Partitioning, in Proceedings of the Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS), December 2015.
- Siyuan Zhang, Lu Qin, Yu Zheng, and Hong Cheng, Effective and Efficient: Large-scale Dynamic City Express, November 2015.
- Yu Zheng, Huichu Zhang, and Yong Yu, Detecting Collective Anomalies from Multiple Spatio- Temporal Datasets across Different Domains, ACM – Association for Computing Machinery, November 2015.
- Yexin Li, Yu Zheng, Huichu Zhang, and Lei Chen, Traffic Prediction in a Bike-Sharing System, ACM – Association for Computing Machinery, November 2015.