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.
She is also one of the editors and authors 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.
- Yu Zheng, Trajectory Data Mining: An Overview, in ACM Transaction on Intelligent Systems and Technology, ACM – Association for Computing Machinery, September 2015.
- Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, and Dongmei Zhang, YADING: Fast Clustering of Large-Scale Time Series Data, VLDB – Very Large Data Bases, September 2015.
- Mohan Yang, bolin ding, surajit chaudhuri, and kaushik chakrabarti, Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers, VLDB – Very Large Data Bases, August 2015.
- Chao Zhang, Yu Zheng, Xiuli Ma, and Jiawei Han, Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data, in KDD 2015, August 2015.
- Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, and Tianrui Li, Forecasting Fine-Grained Air Quality Based on Big Data, ACM – Association for Computing Machinery, August 2015.