Mathematical Modeling as a Collaborative Discipline

Friday, October 28, 2011: 8:30 AM-10:00 AM
Room C1/C2 (San Jose Convention Center)
Chair:
Ricardo Cortez, PhD, Professor, Tulane University

Description: Mathematical Modeling implies writing down equations that describe a physical, social or biological phenomenon. Solving them might require a variety of methods, including statistical and computational. The far-reaching possibilities of mathematical modeling are highlighted in this session with applications to cardiac dynamics, drug therapy, imaging, and data classification.

Sponsored by: Supported by the American Mathematical Society



8:30 AM
Introductory Remarks
8:35 AM
Statistical Modeling of Chemical Species Separation in Magnetic Resonance Imaging (MRI)
Angel Pineda, PhD , Assistant Professor , California State University, Fullerton
8:55 AM
Mathematical and Statistical Modeling for FDA Drug Approval Submissions
Helen Moore, PhD , Senior Scientific Consultant , Pharsight Corporation
9:15 AM
Data Clustering and Classification
Raquel Romano, PhD , Senior Software Engineer , Google, Inc.
9:35 AM
Dynamic Range in Networks of Coupled Excitable Systems
Juan G. Restrepo, PhD , Assistant Professor , University of Colorado