Freeman Jiang – Leveraging Machine Learning, Natural Language Processing, and Generative AI To Support and Augment Education Initiatives

The intern will be participating in an interdisciplinary project to investigate how recent advances in machine learning, generative AI, and natural language processing (NLP) could be leveraged to improve education outcomes, both within the partner organization’s operations and in the broader Canadian education system. Through partnership with the partner organization (Cansbridge Fellowship) and the academic supervisor (Dr. Boutaba), the intern will conduct research to produce a report and recommendation identifying the areas of education that could be most affected by AI, and how educators can leverage these technologies effectively and responsibly. They will also create a business plan for the organization that will allow them to capitalize on recent AI developments to better achieve their mission of developing global innovation leaders in Canada. The plan will focus on leveraging AI to streamline Cansbridge’s new fellow onboarding process to cut down costs and improve efficiency. This will come with direct economic benefits to the partner organization. The partner organization’s alumni network includes leaders in AI from prominent innovative organizations like Google, Facebook, and numerous startups, who will offer mentorship directly.

Faculty Supervisor:

Raouf Boutaba

Student:

Partner:

Cansbridge Fellowship

Discipline:

Computer science

Sector:

Education; Other services (except public administration)

University:

University of Waterloo

Program: