Calendar
- 01February 1, 2023
- 01February 1, 2023
Open Neighborhood Seminar: Universality for groups
Science Center 5071 Oxford Street, Cambridge, MA 02138 USAThe Central Limit Theorem is an example of the ubiquitous yet still surprising phenomena in probability that many random inputs often combine to give an output insensitive to the input distributions. We will explore an example of how this plays out in the construction of random abelian groups from random integral matrices. As an example we will see the probability, as n goes to infinity, that a random linear map from Z^(n+1) to Z^n is surjective.
This talk includes joint work with Hoi Nguyen.
For more information, please see: https://people.math.harvard.edu/~ana/ons/
- 02February 2, 2023
CMSA Active Matter: Interacting Active Matter
CMSA, 20 Garden St, G1020 Garden Street, Cambridge, MA 02138I will focus on the interaction between different active matter systems. In particular, I will describe recent experimental and modeling results that reveal how interaction forces between adhesive cells generate activity in the cell layer and lead to a potentially new mode of phase segregation. I will then discuss mechanics of how cells use finger-like protrusions, known as filopodia, to interact with their surrounding medium. First, I will present experimental and theoretical results of active mirror-symmetry breaking in subcellular skeleton of filopodia that allows for rotation, helicity, and buckling of these cellular fingers in a wide variety of cells ranging from epithelial, mesenchymal, cancerous and stem cells. I will then describe in-vivo experiments together with theoretical modeling showing how during embryo development specialized active cells probe and modify other cell layers and integrate within an active epithelium.
This seminar will be held in person and on Zoom. For more information on how to join, please see: https://cmsa.fas.harvard.edu/event_category/active-matter-seminar/
- 02February 2, 2023
CMSA Colloquium: Neural Optimal Stopping Boundary
CMSA, 20 Garden St, G1020 Garden Street, Cambridge, MA 02138A method based on deep artificial neural networks and empirical risk minimization is developed to calculate the boundary separating the stopping and continuation regions in optimal stopping. The algorithm parameterizes the stopping boundary as the graph of a function and introduces relaxed stopping rules based on fuzzy boundaries to facilitate efficient optimization. Several financial instruments, some in high dimensions, are analyzed through this method, demonstrating its effectiveness. The existence of the stopping boundary is also proved under natural structural assumptions.
- 02February 2, 2023
Third Annual Yip Lecture
Andrew Strominger will give the Third Annual Yip Lecture on February 2, 2023.
For more information, please see: https://cmsa.fas.harvard.edu/event/yip-2023/