Delphia’s business model revolves around generating insights for investing firms that allow them to make better trading decisions. It has been shown that detecting when Twitter users post about recent or future purchases has the potential to increase the accuracy of company sales forecasts, which in turn can inform stock trading strategies. This internship project […]

SS&C processes more than 80% of financial scanned and faxed documents in the US and requires large amount of manual labor in order to map information from a document into another form. Advances in neural networks applied to computer vision have produced text detection and recognition that nears human performance. This project will be leveraging […]

The multiple sclerosis (MS) clinic at St. Michael’s Hospital (SMH) is among the largest in the world. While considerable data is collected from the MS clinic in both structured and unstructured form, the ability to glean this information to assess quality of care and conduct advanced analytics such as predictive modeling is limited. In this […]

Nowadays, the balance of omega-3 and omega-6 fatty acids (FAs) has shifted in favour of the latter and fiber consumption has decreased, both of which are associated with poor cardiometabolic health. Omega 3 FAs and fiber may impart their health benefits by modulating the endocannabinoid system (ECS) and the gut microbiome, both of which are […]

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are working with more than 1000 retail locations across North America and collecting large-scale datasets of […]

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]

The IISD-Experimental Lakes Area is currently examining the effectiveness of minimally invasive shoreline methods for cleaning spilled oil. Non-invasive methods are needed to eliminate disturbance to sensitive riparian areas that occur with typical cleanup operations. Non-invasive methods protect sensitive shoreline habitats by minimizing physical contact and they can also speed oil removal after a spill […]

This project aims at understanding the role at a cellular level, of a protein called Trmt2a,b in the repair of DNA in the context of cancer and inflammation. We will study a particular set of blood samples obtained from a cohort of patients affected by acute lymphoblastic leukemia (ALL), a form of blood cancer, where […]

Pressure ulcer is one of the top five leading causes for re-hospitalization of spinal cord injured patients. In general, there are three main difficulties associated with treating these ulcers: 1) Presence of cavities and tunnels which makes it difficult to treat with conventional regimens, 2) A high chance of infection and, 3) Susceptibility to weight-bearing […]

La reconnaissance d’objets est une technologie permettant de traduire des données visuelles en informations utiles visant à reconnaitre des objets, les classifier et les localiser. L’utilisation de la reconnaissance d’objets dans l’industrie des essais non-destructifs est en pleine croissance. Cela permet d’améliorer les délais d’inspection, tout en améliorant la détection et la classification des défauts […]

Cellulose nanocrystals (CNC), a form of cellulose, shows a lot of promise in the development of sustainable materials thanks to its unique properties such as high performance, large surface area, is readily available, renewable, and biodegradable. Early methods to synthesize CNC have not been very successful. In order to isolate CNC, to make them ready […]

Il y a un besoin dans l’industrie pour développer des traceurs moléculaires actifs en Raman qui permettraient des mélanges d’un très grands nombre d’agents de contraste. Un partenariat entre l’Univsersité de Montréal et l’entreprise Photon etc. cherche à capitaliser sur une opportunité singulière basées sur des nanotraceurs Raman très polyvalents et sélectifs pour la diffusion […]