This project focuses on developing and optimizing social media strategies for a retail brand to enhance its online presence, engagement, and sales. With the increasing influence of digital platforms on consumer behaviour, having an effective social media strategy is crucial for brand visibility, customer connection, and revenue growth. The project will explore key aspects such […]

Workplace incidents usually need to be reported and it is important to ensure that they are resolved in a timely manner. To understand the procedures involved in an emergency response to a workplace incident, we have started investigating the existing practices of the McGill University Safety office by interviewing their personnel. We focused our investigation […]

The internship focuses on the intersection of mathematics, machine learning, and ethical AI, specifically within the domains of conformal prediction, fairness, and calibration. Conformal prediction is a statistical framework that provides mathematically rigorous confidence measures for machine learning predictions, ensuring that the uncertainty quantification is valid under minimal assumptions. In this project, the goal is […]

Through semi-structured interviews with current Mexican indigenous migrant men and women and extended family members, my dissertation inquiry focuses on how indigenous peoples – men and women – in Mexico have experienced (and continue to experience) the transition from subsistence to commercial agriculture. The core objective of my doctoral research is to bridge the existing […]

Spin qubits—nanoscale quantum bits made in semiconductor materials—are a promising technology for building future quantum computers. They are highly miniaturized, can work at relatively higher temperatures than competing technologies, and can be made using standard industrial semiconductor-chip fabrication techniques, which makes them ideal for scaling up. However, traditional chip design software is not adequate for […]

Uwear.ai est une startup montréalaise créée en mars 2023, avec pour mission de bâtir le meilleur photographe fashion virtuel. L’objectif du projet est d’ajouter des conditions à la deuxième version de notre adaptateur. Ces conditions nous permettrons de générer des photoshoots sur une personne cible.

Material Legal Technologies is a full-stack technology based legal advisory service that seeks to streamline the last mile in narrative public disclosure, in addition to developing various technological tools to alleviate friction in corporate governance. This project aims to elevate our existing ML tooling to state-of-the-art in terms of recent research advancement, specifically helping with […]

Through combining information from MRI and microscopy, this research aims to propose advanced computational methods for the registration, reconstruction, and analysis of brain images. To improve the accuracy and resolution of the combined brain scans, a key component of this effort is the application of statistical techniques to create correlations between the various imaging modalities. […]

NanopHast is developing cutting-edge solid-state pH sensors designed to replace traditional glass pH electrodes. Our sensors offers miniaturized pH measurement, opening up novel possibilities in drug discovery and development. NanopHast has longer shelf life, lower manufacturing costs and a maintenance free design for users. Our goal is to redefine pH measurement standards and help drive […]

The purpose of this project is to contribute to our understanding of the development of Yogacara (Jp. Hosso) thought in pre-modern Japan between Heian and Kamakura periods (794-1333). To do so, it examines the writings of the Hosso monk-scholar Jokei (1155-1213), a neglected yet important reformer who lived in an era marked by political instability […]

The project aims to the improvement of a soft robot dexterity by adjusting its stiffness while performing a task, through an auxetic shell. This project will address current limitations in design and control of these types of robots. By combining the expertise of McGill University and CINVESTAV, researchers will explore auxetic geometries, design and manufacturing […]

Rapid and accurate detection and classification of pathogens (viruses vs. bacteria) is a global challenge affecting healthcare, public health, and environmental safety. Current methods like PCR and CRISPR are accurate but slow, expensive, and require centralized labs and trained personnel. Rapid antigen tests are faster but lack accuracy and cannot differentiate between bacterial and viral […]