University of Alberta

Transient dynamics are referred to as those dynamics that happen on ecologically relevant timescales, in which classical modelling techniques often fail to capture. Due to the ever-changing environments and ecosystems, increased interest has been...

Habitat loss is a key component driving decreases in biodiversity and the extinction of species worldwide. Of particular concern is human-driven habitat loss, primarily through agriculture, resource extraction, and urbanization. In this talk, I will...

Population neuroimaging is devoted to the identification and modelling of brain development, maturation and aging by using a combination of neuroimaging with epidemiology and omics sciences, as applied in large cohorts and meta-analytical datasets...

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...

Observing a sample of random variables, we wish to decide whether or not some hypothesis about the distribution of the observed sample is correct. A decision procedure for such a problem is called a statistical test of the hypothesis under...

Gliomas are the most prevalent, aggressive, and invasive subtype of primary brain tumors, characterized by fast cell growth, strong invasion capability, and well-developed tumor vasculature. Their growth and migration in the brain is a highly complex...

Humans are affecting the planet in diverse ways. One of those that receives scant attention is the effect that chemicals are having on life. In this talk, I will use data from my lab on a variety of animal models, including invertebrates and...

Consider two finitely generated field extensions K and L of the same transcendence degree over some base field F. Suppose these extensions become isomorphic over F after adjoining some variables. Does this imply that K isalready isomorphic to L over...

We introduce p-adic cellular neural networks, a mathematical generalization of cellular neural networks. These networks have infinite cells with a hierarchy structure and hidden layers. We discuss two types of p-adic CNNs: one for grayscale image...