My lab’s research projects involve developing integrated silicon photonic devices for both brain-computer interfaces and artificial intelligence computing hardware. My focus will be developing photonic computing hardware that is neuromorphic, meaning it emulates the way our brains work. My main objectives will involve developing and characterizing integrated photonic chip designs that involve functional and trainable […]

To avoid dangerous climate change, large quantities of carbon dioxide must be removed from the atmosphere. Forest growth is one of the most efficient strategies for achieving this, with tropical secondary forest key to recovering carbon stocks. The carbon benefit of secondary forest, which grows on cleared land following abandonment, is determined not only by […]

The group in Canada has extensively studied the factors (known as biomarkers) that can influence how people respond to anti-psychotic drugs, including if patients will develop side-effects. Our group in Liverpool has experience with compiling and analysing the large amounts of evidence required to prove a link between the biomarkers, and the patient’s response. The […]

Fisheries are the main global threat to elasmobranchs (sharks and rays). Elasmobranchs commonly display conservative life history traits (slow growth, long life, late sexual maturity and low fecundity), making them extremely vulnerable to non-natural mortalities. However, there is significant variation, with some species exhibiting life history traits more resilient to exploitation. In order to assess […]

Peatlands, a type of wetland containing a thick organic layer of partially decayed plant material, are the largest terrestrial carbon stocks. Climatic changes, including warming, could result in a lowering of the water table in peatlands, increasing oxygen availability to microbes and mesofauna allowing faster break down of the organic material and consequent release of […]

Arboviruses pose an ever-growing concern as the habitat of vectors expand alongside climate change. The outcome of outbreaks is often heavily influenced by the immune status of the population. Different pathogens can either protect against others or increase susceptibility and morbidity depending on infection timings and how closely related the pathogens are. A good example […]

The proposed research will explore how Canadian women’s interactions with health and fitness content on Instagram impacts upon physical activity participation. This research is sorely needed because, while social media is increasingly pertinent to the formation of everyday health practices, this dimension is seldom explored. In addition, this project will pilot a novel method, developed […]

Environmental variability is a fundamental component of adaptation; it is usually associated with modifications in the organism’s observable traits, particularly for those with limited plasticity. We will use a bioenergetic model as a framework to understand this variance in the organism’s traits. We will focus on the effect of individual physiological differences, which are represented […]

A first principles approach to molecular dynamics is crucial to understanding photo-chemical reactions. These reactions take place involving multiple electronic states, in other words, they undergo non-adiabatic dynamics. The problem is analogous to the many body problem where significant entanglement between the motion of electrons and nuclei is present. In this project we will develop […]

Ce projet de recherche a pour but d’améliorer la technologie des réseaux de neurones, pilier important de l’intelligence artificielle moderne, en s’inspirant du cerveau. Le but principal est d’être capable de réduire la consommation énergétique suffisamment pour pouvoir en profiter sur des appareils à énergie limités, tel que des téléphones cellulaires. Le cerveau, malgré ses […]

The purpose of Research Project contributions is to analyze the coupled radiation-conduction and/or convection heat transfers in a 2D enclosure contains an absorbing, emitting and non-scattering real medium (CO2, H2O, or their mixture) using the lattice Boltzmann method (LBM). The usage of this method makes it possible to assess the effect of real media radiative […]

This research project will combine computational modeling, machine learning (ML) algorithms and whole-brain neural recordings (magnetoencephalography, MEG) to shed light on how the mechanisms underlying dynamic decision making are implemented in the human brain. Specifically, we will use the statistical framework of information theory to characterize inter-areal neural coupling and the direction of information flow […]