Supports research in mathematical biology that addresses significant biological questions by applying nontrivial mathematics or developing new theories — particularly from foundational mathematics, including artificial intelligence or machine learning.
Synopsis
The Emerging Mathematics in Biology (eMB) program seeks to stimulate fundamental interdisciplinary and potentially transformative research pertaining to the development of innovative mathematical/statistical/computational theories, tools, and modeling approaches to investigate challenging questions of great interest to biologists and public health policymakers. It supports research projects in mathematical biology that address challenging and significant biological questions through novel applications of traditional, but nontrivial, mathematical tools and methods or the development of new theories particularly from foundational mathematics and/or computational/statistical tools, including Artificial Intelligence/Deep Learning/Machine Learning (AI/DL/ML). The program emphasizes the uses of mathematical methodologies to advance our understanding of complex, dynamic, and heterogenous biological systems at all scales (molecular, cellular, organismal, population, ecosystems, etc.).
Program contacts
| Name | Phone | Organization | |
|---|---|---|---|
|
Zhilan J. Feng, (DMS) Program Director
|
zfeng@nsf.gov | (703) 292-7523 | MPS/DMS |
|
Mamta Rawat (IOS) Program Director
|
mrawat@nsf.gov | (703) 292-7265 | BIO/IOS |
|
David J. Klinke (MCB) Program Director
|
dklinke@nsf.gov | (703) 292-2890 | BIO/MCB |
|
Jeremy Wojdak (DEB)
|
jwojdak@nsf.gov | (703) 292-8781 | BIO/DEB |
|
Amina Eladdadi (DMS) Program Director
|
aeladdad@nsf.gov | (703) 292-8128 | |
|
Lisa G. Davis (DMS) Program Director
|
lgdavis@nsf.gov | (703) 292-5190 | MPS/DMS |