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Events This Week

Week of January  29 -  January 25

Friday, January 29

Applied and Computational Mathematics

Topic: DNA methylation-based aging biomarkers in health and disease

Mary Sehl | UCLA

Abstract: DNA methylation-based estimates of age are strongly correlated with chronologic age across many cell types and tissues. Importantly, these biologic aging estimates are accelerated in disease states, and predictive of both lifespan and healthspan. Recent evidence suggests that female breast tissue ages faster than other parts of the body in healthy women, based on the Horvath pan-tissue epigenetic clock. Estrogens are thought to contribute to breast cancer risk through cell cycling and accelerated breast aging. We hypothesize that epigenetic breast aging is driven by lifetime estrogen exposure. In this talk, we will review the development and key features of several epigenetic clocks including Horvath’s pan-tissue clock and the Hannum clock, as well as second generation clocks including the Phenotypic age, Grim age, and Skin and Blood age clocks. We will describe findings from a recent study examining associations between hormonal factors (including earlier age at menarche, and body mass index) and these epigenetic aging measures in healthy women. We will further describe additional applications of peripheral blood methylation age estimates to study biologic age acceleration in HIV-infected men pre- and post-initiation of antiretroviral therapy, and in early stage breast cancer survivors undergoing radiotherapy and chemotherapy.

Zoom access

Meeting ID: 
Zoom meeting starts at 3:30pm

Thursday, January 28


Topic:  TBA

Kelsey Gasior | Florida State

Abstract: TBA

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Zoom access: Contact
Time: 3:30pm

Wednesday, January 27

Algebra and Combinatorics

Topic:  Stable Harbourne-Huneke containment and Chudnovsky's Conjecture

Sankhaneel Bisui | Tulane University


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Zoom access:
Time: 3:30pm

Monday, January 25


Topic:  Modeling and analysis of complex systems — with a basis in zebrafish patterns

Alexandria Volkening | Northwestern University

Abstract: Many natural and social phenomena involve individual agents coming together to create group dynamics, whether they are cells in a skin pattern, voters in an election, or pedestrians in a crowded room. Here I will focus on the specific example of pattern formation in zebrafish, which are named for the dark and light stripes that appear on their bodies and fins. Mutant zebrafish, on the other hand, feature different skin patterns, including spots and labyrinth curves. All these patterns form as the fish grow due to the interactions of tens of thousands of pigment cells. The longterm motivation for my work is to better link genes, cell behavior, and visible animal characteristics — I seek to identify the specific alterations to cell interactions that lead to mutant patterns. Toward this goal, I develop agent-based models to simulate pattern formation and make experimentally testable predictions. In this talk, I will overview my models and highlight future directions. Because agent-based models are not analytically tractable using traditional techniques, I will also discuss the topological methods that we have developed to quantitatively describe cell-based patterns, as well as the associated nonlocal continuum limits of my models.

Join us:
Zoom access: Contact
Time: 3:30pm