The aim of this project is to develop novel optical and microfluidic methods to extract quantitative metrics from biological interactions. Such quantitative information will be used to understand biophysical processes – such as binding of antibodies to a cell or tissue surface as well as improving decision making in diagnostic pathology. Towards these aims, we […]

The Chilako river is a 6th order river located approximately 15km west of Prince George, British Columbia. It serves as a main tributary to the Nechako River and is identified as a key spawning habitat for salmon in central British Columbia. However, disturbances such as agriculture, forest harvesting, forest fires and the Mountain Pine beetle […]

I am a third-year Masters of Fine Arts candidate at the University of British Columbia School Of Creative Writing, and am working on my novel with Annabel Lyon ([email protected]), exploring familial connections, memory, and Chan Buddhism in a story where time is a fluid entity, ultimately examining and combining Chinese Philosophical concepts with non-linear narrative […]

Smart device applications show great promise as a means to improve the mental health and well-being of users. CheckingIn is one such app. CheckingIn monitors self-reported daily mood states of users and suggests exercises to improve user’s mental health and well-being. Although the app’s well-being programs are scientifically informed, there is a general lack of […]

iClinic-HF is one of the specialized modules that is operating in the 12 heart failure (HF) clinics across British Columbia. The major challenge that these clinics face are the limitations and constraints in resources with regards to the staff and funding operating under constraints of a universal healthcare system environment. Further limitations of an effective […]

Earth elevation data is an important tool that helps scientists predict how rivers will respond to large floods and increased inputs of rocks and sand. Recent technological advances in elevation data collection are very effective for dry land, but much less effective for the wetted parts of the river. This causes gaps in the elevation […]

The material properties of thermoplastic polymer composite parts manufactured by the fused filament fabrication additive manufacturing process are highly dependent on the thermal history. A good understanding of the heat transfer in fused filament fabrication is crucial for an accurate stress prediction and subsequently for repetitive, high-quality printing. A numerical simulation to model the thermal […]

To design and produce better materials for construction and manufacturing, as well as discover new and improved drugs, scientists need to be able to predict properties of molecules or crystalline solids – ideally, before they are made in the lab. At the atomic level, these properties are governed by quantum mechanics, which makes the prediction […]

Climate change is one of the greatest threats to human health in the 21st century, with approximately one in four worldwide, attributable to environmental factors (1). Ironically, healthcare itself is responsible for 5% of annual global greenhouse gas (GHG) emissions, equivalent to airplane travel (2). Within healthcare, kidney care services have substantial environmental impacts compared […]

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

The human brain consists of more than 100 billion cells, many with specific structures and functions, performing complicated computations every day. Understanding these properties is a key component for the development of therapies for neurological disorders such as epilepsy, depression and brain tumours. So far, most of our knowledge of the human brain has been […]

We aim at developing new approaches which have not been performed so far, such as i) enhancing the resolution and quality of noisy and unlabeled conventional ultrasound images through deep learning SRMs, ii) synthesizing high-quality MRI from the enhanced ultrasound images through generative networks, iii) fusing ultrasound and synthetic MRI images for different aspects such […]