Dairy consumption has decreased in the last 30 years. Canada’s Food Guide no longer recommends three servings of dairy and emphasizes plant-based diets and dairy alternatives. Associated with this decrease is an increase in overweight and the risk of obesity and Type 2 Diabetes (T2D) in adolescents. Consistent with this advice, many adolescents have increased […]

The University of Toronto Schools (UTS), through the Eureka Research Institute, is committed to advancing data-driven decision-making in K-12 education. This aligns with the growing recognition of the importance of data literacy in education, where students and teachers need to “read the world with data” and “write the world with data” (Louie, 2022). Recent research […]

This research project focuses on using advanced machine learning techniques to better predict stock prices, specifically targeting stocks from the S&P 500. By combining powerful deep learning methods—such as LSTM and GRU networks—with adaptive attention mechanisms inspired by Transformer models, the project aims to create forecasting systems that can dynamically adapt to changing market conditions, […]

Awesense is a clean tech company on a mission to accelerate the transition to clean energy by simplifying the creation of data-driven applications for a decarbonized, decentralized grid. To enable the complex planning and operational decisions required by distributed energy resources (e.g., solar, wind, batteries, EVs), Awesense developed its Digital Energy Platform. This platform allows […]

During this internship we will investigate the chemical and spectroscopy (colour) behavior of a new pigment to a variety of variables the new pigment is likely to encounter on application. Dominion Colour Corporation is interested in marketing this pigment as a new and robust colourant. [note: this overview is purposefully vague as the content of […]

PM2.5 are organic molecules, less than 2.5 nm in diameter, which pose significant risks to public health, and have been shown to cause lung irritation and cancer, corrode the alveolar wall, and premature mortality, among other issues. Using traditional methods, it is difficult to find the source of these molecules and document them promptly, as […]

Xanadu’s mission is to make quantum computing useful, through development of quantum hardware, software, and algorithms. One important direction in achieving this goal is identifying problems that can be solved on quantum hardware that are not tractable on classical computers, and then building quantum algorithms for those problems. We expect that eventually we will have […]

Predicting Complete IV Curves for Perovskite Solar Cells with AI. Perovskite solar cells are a groundbreaking technology, offering high efficiency and low manufacturing costs, making them a promising candidate for the future of renewable energy. Their tunable properties and rapid development have captured significant interest in both academic and industrial sectors. This project focuses on […]

Perovskite solar cells stand out due to their rapid advancements and high efficiency, combined with the promise of cost-effective production. These attributes have placed them at the forefront of next-generation renewable energy solutions. This project integrates physics-based principles into AI models to reconstruct IV curves, reducing reliance on extensive input parameters. By incorporating optoelectronic governing […]

Laser-driven plume formation is a surprising and so far theoretically unpredicted phenomenon of Newtonian fluids. The group at the Max Planck Institue for the Structure and Dynamics of Matter (MPSD) have observed this behaviour in glycerol, a Newtonian fluid, whereby elastic, rubber-like responses in the material have been produced on timescales many orders of magnitude […]

Measurement of magnetic field vector by a compact diamond quantum sensor Measuring magnetic field is important for material and device characterization. Although various methods have been developed, challenges persist in accurately measuring local magnetic field vectors. Our lab has been developing a compact diamond quantum sensor to overcome the challenge. The diamond sensor uses nitrogen […]

Light can be used to control biological processes in living cells, a technique called optogenetics. Originally developed to control neural activity, optogenetics has been expanded to control protein interactions and gene expression with a high degree of spatial and temporal control. This has opened exciting possibilities in developmental biology and tissue engineering. However, current optogenetic […]