TITLE:

Quantitative Modeling Languages for Computational Biology

DATE:

Friday, April 18th, 2014

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Dr. Eric Mjolsness. University of California, Irvine

ABSTRACT:

Predictive modeling languages are aimed at describing approximately the

way things are, or could be, and how processes work or could work. By

contrast programming languages are aimed at specifying exactly how to

do a computation. There is a useful overlap between these kinds of formal languages

including ideas of compositional semantics. We discuss several modeling languages

which are compositional, algebraic, and allow expression of heterogeneous kinds of dynamics,

along with quantitative algorithms for simulation and inference in these languages.

We illustrate with models of complex biological systems in cellular and

developmental biology, plus an application to neurobiology.

HOST:

Dr. Jose Castillo

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