Speaker:

Niall Mangan, Assistant Professor, Department of Engineering Sciences & Applied Mathematics, McCormick School of Engineering, Northwestern University

Title:

Data-driven model selection for dynamic, biological systems

Abstract:

Inferring the structure and dynamical interactions of complex systems is critical to understanding and controlling their behavior. As higher fidelity data becomes available, rapid generation and evaluation of mechanistically meaningful models from data is increasingly possible. I will present a data-driven framework for sparse identification of nonlinear dynamical systems (SINDy). SINDy subselects a set of models from the combinatorial possibilities represented in the feature library. To enable discovery of a broader class of functions, I have developed implicit-SINDy, which combines a compact feature library, implicit formulation, and sparsity promoting non-convex optimization. The method successfully identifies models for metabolic and regulatory.

Speaker Bio:

Dr. Mangan is currently an Assistant Professor position in Engineering Sciences and Applied Mathematics at Northwestern University in 2018. Before coming to NU, she was an Acting Assistant Professor in the Applied Mathematics Department at the University of Washington, Seattle and Reseach Consultant at the Institute for Disease Modeling, Bellevue, WA. Besides developing model selection methods, Dr. Mangan works on spatial models for metabolism and bioengineering, and modeling of photovoltaics, lasers, and other materials systems.

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between.

Live Stream:

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