Tegan MAHARAJ

Tegan Maharaj is an assistant professor at the Department of Decision Science at HEC Montréal.

The goal of her research is to contribute understanding and techniques to the growing science of responsible AI development, while usefully applying AI to high-impact ecological problems related to climate change, epidemiology, AI alignment and ecological impact assessments. Her recent research has two themes: (1) using deep models for policy analysis and risk mitigation, and (2) designing data or unit test environments to empirically evaluate learning behaviour or simulate the deployment of AI systems.

Tegan Maharaj is interested in studying “what goes into” deep models—not only data, but also the broader learning environment (e.g., task design/specification, loss function and regularization) and the broader societal context of deployment (e.g., privacy considerations, trends and incentives, norms and human biases). She is concerned and passionate about AI ethics and safety, and the application of ML to environmental management, health and social welfare.