Institute for Mathematicsand its Applications

IMA Data Science Lab www.ima.umn.edu/datascience

IMA Data Science Lab

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Contact us

EMAIl datascience@ima.umn.eduPhonE 612-624-6066

Institute for Mathematics and its ApplicationsUniversity of Minnesota 400 Lind Hall207 Church Street, SEMinneapolis, MN 55455

Nonprofit Org.U.S. Postage

PAIDTwin Cities, MN

Permit No. 90155

AboutMission

To provide business and industry with scientific research and tools for data analysis.

The low cost of collection, ubiquity of sensors, and abundance of storage have created an enormous amount and diversity of data. From scientific and medical to business, traffic, and social, all of these sources generate data that is high dimensional and high in volume. The ability to generate and store vast quantities of data far outpaces the ability to analyze, process, and understand it. There is an unmet need to analyze data as efficiently as possible in order to extract valuable insights for decision making.

The IMA Data Science Lab is driven by the need to develop tools for the analysis of big data. At the same time, the directive of the lab is to gain rigorous understanding of the capabilities, advantages, and limitations of these methods so that certainty in the knowledge extracted can be quantified. Industry is invited to explore what the lab has to offer and discover more about the lab’s cutting-edge academic research.

Lab Activities and Programs

LeadershipDIrEctor Gilad LermanLerman 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 has extensive experience working with industry both as a consultant and collaborator. His areas of research and expertise include high dimensional data, machine learning, algorithm design, and mathematical foundations of data analysis. As director of the Data Science Lab, his goal is to provide industry with access to academic research and tools for analysis of data.

 Open Lab Meetings

Visit and learn about the projects lab

members are working on.

annuaL Meeting

By invitation only, attend a day-long meeting with

presentations by lab members on the latest findings and provide

input on the research.

ReseaRCh pROduCts

Download preprints and reports, as well as software, prior

to publication.

data sCienCe seMinaR seRies

Presentations by leading experts will be

webcast on the IMA website.

Institute for Mathematicsand its Applications