TITLE:

Smart modeling for complex biological systems

DATE:

Friday, September 21st, 2018

TIME:

3:30 PM

LOCATION:

GMCS-314

SPEAKER:

Eric Mjolsness, Ph.D., Department of Computer Science and Mathematics, UC Irvine.

ABSTRACT:

There is substantial need and opportunity to bring artificial intelligence (AI)
to bear on the scalable modeling of complex biological systems.
Both symbolic AI in the form of computer algebra, and numerical AI
in the form of machine learning (ML) methods, should make major
contributions to future simulation capabilities that can improve our
understanding of molecular, cellular, developmental, and larger biological
scales of organization. Problems of scalability that can benefit from
AI/ML arise along the related axes of problem size (large number of
dynamical variables and high performance computing to simulate them),
multigrid/multiscale numerical methods, and heterogeneous multiscale
biological processes. I will show examples including ML for model reduction
in reaction/diffusion models in synapses, and computer algebra based
modeling languages that can represent some of the complexities of
morphodynamics (the dynamics of form) in plant developmental biology.

HOST:

Dr. Jose Castillo

DOWNLOAD:

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