MathBio3 symposium Sept. 29 offers latest ideas on modeling for research

Faculty, Staff and Students,

  • Do you have a research project in search of a modeling solution? Would modeling help you interpret challenging findings?
  • Would you like to learn about the latest applied modeling approaches and mathematical tools?
  •  Would you like to connect with leading bioscience and mathematics experts from the UW–Madison campus and around the world?
  • Do you wonder what funding sources and career options are available for scientific modeling?

If so, plan to attend the MathBio3: MODELING symposium co-organized by the Wisconsin Institutes for Discovery and the UW–Madison Graduate School.

When: Thursday, Sept. 29, 1–7 p.m. and Friday, Sept. 30, 8:30 a.m.– 4:15 p.m.
Where: H.F. Deluca Forum, Wisconsin Institutes for Discovery, 330 N. Orchard St., Madison, Wis.
Agenda and Registration:  Visit for more details and to register.  Registration is required but free of charge.

MathBio3: MODELING is designed for bioscience and mathematics faculty, staff, researchers and students of the greater UW–Madison community. The symposium:

  • Focuses on modeling approaches, including mathematical tools, that can help accelerate scientific research.Showcases the cutting-edge work of UW–Madison and Wisconsin Institutes for Discovery faculty in a range of disciplines
  • Brings in noted modeling experts from MIT, Lawrence Livermore National Laboratory, Vanderbilt University and the Oxford University Mathematical Institute to broaden the base of knowledge
  • Features a poster session for UW–Madison students and researchers to share their latest findings and modeling needs.
  • Includes resource panels devoted to funding scientific modeling projects and careers in scientific modeling.
  • Provides a networking high point at the Thursday evening reception, followed by a keynote address on a spectrum of modeling approaches by MIT expert Doug Lauffenburger.

The program offers opportunities for in-depth discussions of common and significant challenges and opportunities in scientific modeling and will showcase methodologies of value to a wide range of applications.

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