Linking Forests and Cities: Wood Fuel Logistics and Carbon Performance

This study aims to produce a feasibility report on establishing a district energy system in Toronto, Ontario. The district energy system will be powered by wood chips sourced by a local, privately held forest and transported by rail to the proposed combined heat and power facility. Areas that will be examined in this study include […]

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Using neural networks to learn the folding landscape of DNA

The human genome is composed of billions of base pairs coding for genetic information. DNA is scattered through our chromosomes that all get packed in the nucleus of a cell. Different conformations of DNA folding can be informative of cell type and lead to regulation of specific expression programs by modifying physical accessibility to transcription. […]

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Ancient DNA Analysis of Archaeological Aurochs Remains from China

As the wild progenitor of modern domestic cattle, aurochs became extinct in the 17th century in Europe. Their extinction in China was once thought to start at the beginning of the Neolithic due to some climatic changes. However, our recent ancient DNA analysis (Cai et al., 2018) has confirmed the aurochs had in fact survived […]

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An optical function analysis for thin-film device structures

Informed thin-film device design, wherein layers of thin-films are deposited onto an underlying substrate, requires an understanding of the spectral dependence of the optical functions associated with the thin-film layers which constitute such a device. In this project, we aim to further understand the form of the optical functions for the various types of thin-film […]

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Development of the Metaplex Immuno-Oncology Platform – Immuno-Oncology Component

Current cancer immunotherapies, although highly successful, are complex to implement, costly, and only effective in small patient populations with specific cancer types. We propose to overcome these problems by developing small molecules to induce immunogenic cell death (ICD), a cancer cell death process that engages the immune system to recognize and eliminate cancer cells and […]

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Development of the Metaplex Immuno-Oncology Platform – Formulation Component

Current cancer immunotherapies, although highly successful, are complex to implement, costly, and only effective in small patient populations with specific cancer types. We propose to overcome these problems by developing small molecules to induce immunogenic cell death (ICD), a cancer cell death process that engages the immune system to recognize and eliminate cancer cells and […]

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Anion Exchange Membranes for use in Industrial Electrolysis Systems for Salt-Splitting

Salt splitting is a technology in which an electrochemical cell containing 2 membranes to transport positive and negative ions, is used to produce sulfuric acid and caustic soda from sodium sulfate, a compound found commonly from industrial brine streams. Salt splitting electrolysis is a sustainable solution for the expanding markets of acid and caustic recovery […]

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Development of a commercial protocol to differentiate human pluripotent stem cells into skeletal muscle progenitor cells (hPSC-SMPCs) with transplantation potential

Recent scientific breakthroughs have led to the development of methods to differentiate human PSCs (hPSCs) into skeletal muscle cells. This has allowed, for the first time, the development of cellular models to study muscle diseases such as Duchenne Muscular Dystrophy and the possibility to utilize these cells for cell therapy applications. However, the reliability, efficiency […]

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Reinforcement Learning for Predictive Sports Analytics

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

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Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

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Visual Inspection UAV in Harsh Environments and Confined Spaces

Preforming regular visual inspections is essential in up keeping structures. These inspections are used to identify defects at an early stage before they pose a major threat. Unfortunately, these inspections require scaffolding or hiring a boom to access certain areas. Other areas are tight and put the worker at risk. The use of visual inspection […]

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