Establishing Data Science Thought Leaders

The Northwestern Mutual Data Science Institute is committed to solving important business and community challenges by harnessing the power of data for research and scientific discovery.

Our research efforts are prioritized by using data to address three major themes:

  • Tackling some of the world’s largest health crises
  • Addressing challenging social issues that affect a large population
  • Finding innovative solutions for business and industry problems

Underlying these areas is an unwavering focus on the ethical use of data to ensure we’re on the cutting edge of data science trends and effecting positive change in a responsible manner.

NMDSI-supported research advances innovative ideas, while fostering collaborations that will lead to long-term, deep relationships among faculty — across disciplines — at both UW-Milwaukee and Marquette. Through these collaborations, we will maximize contributions to data science while producing internationally-recognized data science research and thought leadership.

Meet our Researchers

  • Dr. Paul Roebber
  • Distinguished Professor, Atmospheric Sciences
  • UW – Milwaukee

Dr. Paul Roebber uses agent-based models for a variety of situations including weather threat evacuations, higher education systems, government research funding, and forecasts of weather events like flooding, freezing rain, hurricane intensification, thunderstorms, and heat/cold waves. He has also worked on verification tools that can be used across any discipline where verification of forecasts is needed and has done work with self-organizing maps/cluster analysis and neural network applications.

One area of his research that Dr. Roebber is most proud of is a technique he created using predator-prey ecosystem modeling to produce ensemble weather forecasts. With this method, he was able to show that the approach helped reduce the “overconfidence bias” in numerical weather prediction modeling systems.

When asked about his legacy, Dr. Roebber commented, “I would like the creative cross-fertilization of ideas between fields to be a hallmark of atmospheric science research, and for my research to stand as an example of how this can be done.” He thinks it may be too early to be pondering his legacy but hopes his work highly influences the discipline.

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Affiliated Faculty

The NMDSI Affiliated Faculty program provides resources and support to data science faculty, tracks data science research and education, and facilitates building expert multidisciplinary teams from faculty with overlapping or complementary skills and interests.

By building a data science community based on collaboration and increasing the collective impact of data science research, the NMDSI Affiliated Faculty program brings us one step closer to achieving our goal of transforming our world through the power of data science.

Interested in joining the NMDSI Affiliated Faculty program? Submit your application below.

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