The ability to simulate chemistry accurately allows for significant developments in many fields such as material and drug discovery. Unfortunately, the underlying equations that describe chemistry become exponentially harder to solve as we increase the size of the system. This makes it impossible for us to accurately simulate useful molecules on classical computers. A potential […]

Our goal is to employ a host of new compounds, made by the applicant in her lab in Brazil, for drug discovery studies at the University of Toronto. Specifically, the host uses a technique called Nuclear Magnetic Resonance (NMR) to obtain signatures of drugs or ligands. These signatures can identify those compounds which bind strongly […]

The aim of this project is to assess the long-term impacts of transport poverty in Canada using mixed methods approach. Transport poverty is the combined effect of transport disadvantage (including but not limited to inadequate public transport options, poor public transport accessibility, not owning or having access to car, perception of safety) and various socio- […]

Asbestos was once used extensively in the fabrication of a variety of products and materials. After being declared a carcinogen and linked with a variety of lung diseases more than 2 decades ago, the use of asbestos was banned in many countries. Yet, asbestos remains a public health concern worldwide and one of the leading […]

Amber is a novel preservation media for diagnostic tissue biopsies that enables superior histology, biomarker viability, and high RNA quantity. Amber is proposed to increase visualization of tumor margins on MRI. The current challenge of evaluating post-surgical specimen is the MRI technology is succumbed to surgically induced artefacts from tissue-air interface. Tumor margin detection is […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have […]

The customer acquisition strategy for an organization is most effective if informed by insights into which customers would provide the most value, how much it would cost to acquire those customers, and what is the probability of success for acquiring a particular customer. While it is not tractable to do such analysis at the individual […]

Breast cancer was the most common cancer in 109 countries including Canada (excluding skin cancer) in 2020 (WHO). Early detection is critical in prognosis. The standard-of-care in early-stage breast cancer is breast conserving surgery (BCS), typically followed by radiotherapy and/or chemotherapy and/or endocrine therapy. The gold standard for margin assessment for BCS is histopathology. Results […]

The proposed project is to develop a bioaerosol sampler which will have minimal impact on the infectivity of captured viruses. Airborne viruses are subjected to environmental conditions which could affect their potential of infectivity as well as their capacity to resist the shearing forces and desiccating conditions during sampling procedures with standard sampling apparatuses. This […]

Capturing and manipulating 3D scenes is a topic of great interest with applications in photography, augmented reality, and robotics. Neural Radiance Fields, or NeRFs, is an emerging technology that enables high fidelity scene modeling and manipulation. This is of great interest to Samsung, as it can help create new photographic experiences for users. Our project […]

Deep Learning (DL) is seen by many as “the” framework to solve complex problems involved in numerous applications that influence people’s lives. It is widely used in safety and security-critical environments such as self-driving cars as well as drones and robotics. This makes it highly essential to secure DL algorithms and systems from malicious actors. […]

In 1982 theoretical physicist Richard Feynman stated, “Nature isn’t classical … and if you want to make a simulation of nature, you’d better make it quantum mechanical”. The goal of this Mitacs internship project is to do just that. This project focuses on simulating quantum systems on a quantum computer – a new kind of […]