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Events

Ben Randall, NC State, Cardiovascular and neurological modeling in response to the Valsalva maneuver

The Valsalva maneuver (VM) is a quick, noninvasive, clinical procedure with a variety of uses. In particular, the VM can aid in the diagnosis of autonomic nervous system dysfunction. The VM induces changes in blood pressure, which reflexively induces a neural signaling cascade to adjust heart rate, heart contractility, peripheral vascular resistance, and venous compliance.…

An Introduction to Data Manipulation in R Studio

Cox 306

This semester the Biomathematics GSA will be hosting student led tutorials on a variety of topics. The goal of these tutorials is to help graduate students develop computational tools. This week will cover data manipulation using R Studio. If you are interested in participating please bring a laptop with the necessary software (R and R…

An Introduction to Data Visualization in R using ggplot

This semester the Biomathematics GSA will be hosting student led tutorials on a variety of topics. The goal of these tutorials is to help graduate students develop computational tools. This week will cover data visualization using R Studio with the ggplot package. If you are interested in participating please bring a laptop with the necessary…

Introduction to R Shiny: presenting results with an interactive web application

This semester the Biomathematics GSA will be hosting student led tutorials on a variety of topics. The goal of these tutorials is to help graduate students develop computational tools. This week will cover the development of interactive web applications using R Studio with the shiny package. If you are interested in participating please bring a…

Renee Brady, NC State, Forecasting Cancer: Predicting Individual Responses to Intermittent Androgen Deprivation Therapy in Prostate Cancer

Cox 306

Intermittent androgen deprivation therapy (IADT) is an attractive treatment approach for biochemically recurrent prostate cancer (PCa), whereby cycling treatment on and off has been shown to limit toxicities and reduce cumulative dose. While IADT has been shown to delay the development of treatment resistance, underlying mechanisms and actionable biomarkers are required to accurately predict when…

Sarah Olson, Worcester Polytechnic Institute, Modeling the dynamics of centrosome movement

Cox 306

The mitotic spindle is a complex, dynamic machine important for cell division. The spindle is composed of a network of microtubules  and motor proteins that generate forces to form a bipolar spindle, with each pole organized around a single centrosome. Disruption in force generating activities through protein depletions or alterations to centrosome number, alter spindle…

Mihaela Paun, University of Glasgow, Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation

Zoom

In this talk I will present a Bayesian approach to quantify the uncertainty of model parameters and hemodynamic predictions in a one-dimensional fluid-dynamics model of the pulmonary system by integrating mouse imaging data and hemodynamic data. The long-term aim is to devise a calibrated patient-specific model. I emphasize an often neglected, though the important source…

Biomath Seminar: Justen Geddes, NC State, Modeling and Data Analysis of Postural Orthostatic Tachycardia Syndrome

Cox 306

Postural Orthostatic Tachycardia Syndrome (POTS) is characterized by an increase of heart rate of 30 beats per minute (40 bpm in patients aged 12-19 years) upon a postural change, combined with the presence of orthostatic symptoms. In addition to these criteria, recent studies have shown that POTS patients exhibit large low frequency ~0.1 Hz heart…

Biomath Seminar: Zixuan Cang, NC State, Spatiotemporal analysis of single-cell and spatial genomics data

Cox 306

The emerging single-cell and spatial genomics techniques allow us to elucidate the governing rules of multicellular systems with unprecedented resolution and depth. These datasets are often high-dimensional, complex, and heterogeneous. Mathematical tools are needed to extract biological insights from such data. In this talk, we will discuss several mathematical and machine learning methods for exploring…

Biomath Seminar: Dr. Archana Timsina and Evan Curcio, NC State, Identifiability and optimal control analysis of HIV infection and opioid addiction model / How do tension ratios determine morphometry in physical models of notochord cell packing?

Cox 306

Dr. Timsina's Talk: Identifiability and optimal control analysis of HIV infection and opioid addiction model. Abstract: In a compartmental model of HIV infection and opioid addiction, dynamics such as equilibria, basic reproduction number, and invasion numbers are presented. Identifiability and estimation of the parameters of the model are highlighted. Moreover, the effect of four distinct controls such…

Biomathematics Seminar: Didong Li, UNC Chapel Hill, Inference for Gaussian processes on compact Riemannian manifolds

Cox 306

Gaussian processes (GPs) are widely employed as versatile modeling and predictive tools in spatial statistics, functional data analysis, computer modeling and diverse applications of machine learning. They have been widely studied over Euclidean spaces, where they are specified using covariance functions or covariograms for modelling complex dependencies. There is a growing literature on GPs over…

Biomathematics Seminar: Xingcheng Lin, Genome Organization from the Ground Up – Deciphering Molecular Mechanisms for Chromatin Organization

Cox 306

Chromatin structure tightly regulates gene expression and epigenetic processes. The nuclear environment is complex, featuring tension exerted by force-generating proteins and molecular crowding modulated by different ionic concentrations. Understanding the impact of these factors on chromatin structure is crucial for elucidating the molecular mechanisms of chromatin accessibility and organization. However, it is unclear how chromatin…