Dr. Alan Lindsay, Department of Applied & Computational Math & Statistics, University of Notre Dame

Abstract: Cells grow, divide, and move based on chemical signals received at localized surface receptors. Receptors occupy only a small fraction of the cell surface area, yet cells exhibit exquisite sensory capacity. In this talk I will describe mathematical tools that can be used to analyze the role that receptor organization or clustering plays in biophysical phenomena. This involves a wide array of techniques from asymptotic analysis, homogenization theory, computational PDEs and Bayesian statistical methodologies. I will also describe some recent work on scaling problems with particular focus on the nucleus. In this work, we aim to combine the above mentioned mathematical methods with experimental data to isolate the mechanisms controlling organelle dynamics and equilibrium size.

Bio: Dr. Alan Lindsay got his PhD in Applied Mathematics from University of British Columbia in 2010, followed by a postdoc training in University of Arizona and Heriot-Watt University. He became an assistant professor of Applied Mathematics in University of Notre Dame in 2013 and associated professor in 2019. His research uses computational and analytical techniques to study PDEs arising in modeling of physical and biological systems, including micro electro mechanical systems, mathematical ecology, imaging and inverse problems.
 

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