Math and Data
Current scientific investigations and industrial applications produce and rely on massive, high-dimensional, and often corrupted data. Mathematics plays a significant role in such investigations because it provides a contextual framework for identifying significant quantitative tasks while also helping to establish effective algorithms with provable guarantees.
The IMA Data Science Lab is a center for mathematical knowledge and expertise in data science. It aims to serve as a hub for collaboration between industry and academic researchers and to use cutting-edge research to develop tools for the analysis of big data. Download the brochure.
To provide business and industry with scientific research and tools for data analysis.
-Sign up to receive email announcements about the lab.
-Join the Data Science Lab Consortium. Members receive a number of direct benefits, including the opportunity to support and guide the development of new mathematics. Contact the lab for more information.
Activities and Programs
- Lab meetings: open to industrial partners to visit and learn about the projects lab members are working on.
- Data Science Seminar Series: presentations featuring leading researchers in data science. The seminars will be streamed live on the IMA website, and industrial collaborators will have access to the video recordings. (Recordings available when permission is granted by the speaker.)
- Annual meeting: a day-long meeting at which lab members will present their latest research results with time allotted for invited participants to provide suggestions and feedback on the research.
- Research products: preprints and reports, as well as software, will be made available prior to publication.
The knowledge and expertise of the lab comes from researchers at the University of Minnesota and their groups and from visiting faculty working at the IMA. The IMA has experience in leading collaborations between mathematicians and industry and is well-positioned to serve as the home for this lab.
Lerman is professor of mathematics and director of the Minnesota Center for Industrial Mathematics in the School of Mathematics at the University of Minnesota, Twin Cities. He received his Ph.D. in Mathematics at Yale University in 2000 under the direction of Ronald Coifman and Peter Jones. His postdoctoral experience included Courant Instructorship (2000-2003) at New York University’s Courant Institute of Mathematical Sciences and training in bioinformatics as a research scientist in Bud Mishra’s Lab (2003-2004) at the same institute. He was a recipient of an NSF CAREER award in 2010 and the Feinberg Foundation Visiting Faculty Fellowship at the Weizmann Institute in 2013.
Lerman and members of the Data Science Lab