XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over […]

The main project objective is to develop a culture centric matchmaking application that would cater to the unique needs and preferences of African relationship seekers in Canada and diaspora. Our research showed that the online dating industry (ODI)s does not cater to African relationship seekers’ unique needs and preferences. Only 2% of African respondents stated […]

Manganese (Mn) is a contaminant of emerging concern in drinking water as a growing body of epidemiological evidence has identified adverse cognitive, neurodevelopmental and behaviour effects in children. Canada has been a global leader in advancing the regulatory framework for Mn in drinking water, and in 2019, Health Canada published a new drinking water guideline. […]

Over the past several decades, the scope of decision-making in the public domain has changed from a focus on unilateral regulatory verdicts to a more comprehensive process that engages all stakeholders. Consequently, there has been a distinct increase in public participation in the environmental decision-making process. While the potential benefits of public engagement are substantial […]

Recent advancements in deep reinforcement learning (RL) have enabled incredible breakthroughs on a wide variety of problems in which computer systems are required to learn through interacting with the environment with no or minimal human intervention. An example of this is DeepMind’s AlphaGo agent, which taught itself to play Go at a superhuman performance. Deep […]

Fee calculation engine is a tool that is utilized for fee assignment of the investors in financial advisory companies. The assigned fees for the clients can be miscalculated by the advisors. An AI-based monitoring system can reduce the mistakes in the fee calculation by comparing a new assessed fee with the previous assignment. To this […]

Synthetic population generation is the process of combining multiple socioeonomic and demographic datasets from various sources and at different granularity, and downscaling them to an individual level. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. In this project, we propose a multi-stage framework called SynC […]

The over-arching goal of the project is to explore the use of several recently developed self-supervised image representation learning methods in an attempt to improve performance across several biologically relevant benchmarking tasks at Recursion. At recursion, deep-learning based models are used to generate feature embeddings for our imaging data and these embeddings to generate downstream […]

Project Horizon is a significant campus redevelopment project being undertaken by SickKids in cooperation with the Ministry of Health and Long-Term Care over the next decade in the heart of Toronto’s downtown core. The redevelopment project for a renewal of clinical care and support areas of the hospital will increase inpatient hospital beds and treatment […]

Honest Empathy Innovations Inc. aims to build sustainable mental healthcare solutions with groundbreaking development and innovation in machine learning. We plan to build a next-generation machine learning platform that Canadians can access for their mental health with this project. Our solution is supported by the Canadian Mental Health Association, NEXT Canada, and Yukon Government. Our […]

The Fertility Partners helps leading IVF clinics achieve the best clinic outcomes by providing back-office support through a collaborative synergistic medical-scientific, professional and business environment. By having over 100 years of fertility experience, the team provides clinics with strategic and tactical insights to help achieve the best outcomes and top-tier patient experiences. The opportunity with […]

The research project (internship) will be hosted by The Cansbridge Fellowship, a non-profit organization, regarding ERP software implementation and demand generation. As a consultant intern, I am responsible for customer success for ERP software for small and large businesses and demand generation for ERP software on a global level. These objectives will be achieved through […]