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 WiscMathBio.org 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.