Department Colloquiums & Events

A revisit of homogenization of motion by mean curvature
April 05, 2023 @ 4:00 pm
Skye 284
Aaron Yip, Purdue University Abstract: Despite a long history and many results on motion by mean curvature and homogenization, there are still many interesting questions when these two problems are put together. This is a typical question of gradient flow on wiggly energy landscapes. The talk will revisit the problem of motion by…
Emergent Behavior in Collective Dynamics
March 01, 2023 @ 4:00 pm
Eitan Tadmor, University of Maryland A fascinating aspect of collective dynamics is self-organization of small scale interactions into high-order structures with larger-scale patterns. It is a characteristic feature of “social particles” which actively probe the environment and emerge in various types of clusters. In different…
Untangling Small-Molecule Interactions Driving Intracellular Phase Separation
January 27, 2023 @ 4:00 pm
Skye 268
Kelsey Gasior, University of Ottawa, Canada An emerging mechanism for intracellular organization is liquid-liquid phase separation (LLPS). Found in both the nucleus and the cytoplasm, liquidlike droplets condense to create compartments that are thought to localize factors, such as RNAs and proteins, and promote biochemical…
Computational Moving Boundary Problems
January 26, 2023 @ 4:00 pm
Skye 268
Shuang Liu, UC San Diego Moving boundary (or often called “free boundary”) problems are ubiquitous in nature and technology. A computational perspective of moving boundary problems can provide insight into the “invisible” properties of complex dynamics systems, advance the design of novel technologies, and improve the…
Extending mathematical frameworks to investigate stochastic fluctuations in diverse cell types
January 24, 2023 @ 4:00 pm
Skye 268
Gregory Handy, University of Chicago Stochastic fluctuations drive biological processes from particle diffusion to neuronal spike times. The goal of this talk is to use and extend a variety of mathematical frameworks to understand such fluctuations and derive insight into the corresponding applications. We start by considering n…
Symplectic dynamics without Floer homology
January 23, 2023 @ 4:00 pm
Skye 268
Julian Chaidez, Princeton University Symplectic dynamics is the study of dynamical systems using tools from symplectic topology, like Floer homology. Many natural dynamical systems in physics and topology can be studied fruitfully through this lens, including many-body problems, billiards and surface diffeomorphisms. In this…
Data-Efficient Deep Learning using Physics-Informed Neural Networks
January 19, 2023 @ 4:00 pm
Skye 268
Maziar Raissi, University of Colorado Boulder Abstract: A grand challenge with great opportunities is to develop a coherent framework that enables blending conservation laws, physical principles, and/or phenomenological behaviours expressed by differential equations with the vast data sets available in many fields of engineering…
SuBridging Data and Dynamics in Single Cells through Machine Learning
January 17, 2023 @ 4:00 pm
Skye 268
Peijie Zhou, UC Irvine Abstract: The rapid development of single-cell sequencing technologies provides unprecedented resolutions to study the dynamical process of cell-state transitions during development and complex disease. Mathematically, the transitions can be modeled as a (stochastic) dynamical system with a multi-scale…
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