# Past Events

## Events Search and Views Navigation

## September 2021

### Applied Math Seminar — Amy Buchmann (University of San Diego)

Title: Mixing and Pumping on the Microscale Abstract: Mixing and pumping in microfluidics devices is difficult because the traditional methods of mixing and pumping at large length scales don’t work at small length scales. Experimental work has suggested that rotating helical flagella may be used to effectively mix and pump fluid in microfluidics devices. To further explore this idea and to characterize the flow features around rotating helices, we study the hydrodynamic interactions between two rigid helices rotating at a…

Find out more »## October 2021

### Applied Math Seminar — Manuchehr Aminian (Cal Poly Pomona)

Title: Traditional Applied Math, and then, Working with High Dimensional Biological Data Abstract: I will give an overview of my interests in two parts. The first part will be on passive tracer problems – with the goal of finding formulas of descriptive statistics (mean, variance, skewness) for a solute distribution advected by a smooth flow in a tube with arbitrary cross-section. We found explicit formulas which predict these statistics relying ultimately only on the cross-section of the tube, and see…

Find out more »### Applied Math Seminar — Leif Zinn-Brooks (HMC/Scripps)

Title: Circadian Rhythms in Multinucleate Cells Abstract: Circadian rhythms are among the most researched cellular processes, but limited work has been done on how these rhythms are coordinated between nuclei in multinucleate cells. I'll analyze a mathematical model for circadian oscillations in a multinucleate cell, motivated by mRNA and protein data from the filamentous fungus Neurospora crassa. Stochastic simulations of this model illuminate the importance of mRNA-protein phase separation, in which mRNAs are kept close to the nucleus in which they were transcribed, while proteins can diffuse…

Find out more »### Fall break

No applied math talk

Find out more »### Applied Math Seminar — Mario Banuelos (Cal State University, Fresno)

Title: A Recommendation Systems Approach for Detecting Epistasis Abstract: There are a variety of methods used to understand and interpret an organism’s phenotype, the physical expression of one or more genes. Epistasis, the phenomenon of one mutation affecting the resulting quantitative or qualitative phenotype, is used to assess gene variation in an attempt to find a combination of single nucleotide polymorphisms (SNPs) that contribute to a certain phenotype. Since one SNP rarely completely describes an organism’s phenotype, detecting these groups,…

Find out more »## November 2021

### Applied Math Seminar — Selenne Bañuelos (Cal State University Channel Islands and Institute for Pure and Applied Mathematics, UCLA)

Title: Exploring Phage Treatment for Bacterial Infections with Mathematical Modeling Abstract: Antimicrobial resistance (AMR) is a serious threat to global health today. A renewed interest in phage therapy – the use of bacteriophages to treat pathogenic bacterial infections – has emerged given the spread of AMR and lack of new drug classes in the antibiotic pipeline. This talk will feature mathematical models from an ongoing research project that began in 2019 during the Collaborative Workshop for Women in Mathematical Biology…

Find out more »### Applied Math Seminar — Sara Clifton (St. Olaf College)

Title: Understanding Complex Social Systems using Minimal Mathematical Models Abstract: Minimal mathematical models are used to understand complex phenomena in the physical, biological, and social sciences. This modeling philosophy never claims, nor even attempts, to fully capture the mechanisms underlying the phenomena, and instead offers insights and predictions not otherwise possible. Here, we explore minimal dynamical systems models to understand several complex social phenomena, including the profit-driven abandonment of restaurant tipping, the public health tradeoffs of e-cigarettes, and the progression…

Find out more »### Applied Math Seminar — Christopher Miles (UC Irvine)

Title: Collective motion in the mitotic spindle Abstract: Math models of interacting individuals moving as a collective have been profoundly successful in describing physical and social phenomena ranging from swarming insects to human crowds. Especially in molecular biology, recent advances in machine-learning-based automated tracking have led to droves of new data of collective motion. I’ll discuss two related projects, both studying chromosomes (DNA) moving during mitosis (cell division). The first project will hopefully convince you that modeling this system as a collective is…

Find out more »### Thanksgiving Week

No applied math talk

Find out more »### Applied Math Seminar – Joan Ponce (UCLA)

Title: TBA Abstract: TBA

Find out more »