Tegan Maharaj is an Assistant Professor at Mila, the Quebec AI Institute. With a PhD from Mila, her research focuses on the science of responsible AI development. She specializes in using deep models for policy analysis and risk mitigation, particularly in applying AI to solve high-impact ecological and climate challenges.
Originally starting her education in biology and ecology, Tegan has a deep-rooted passion for environmental management and social welfare. She is a co-founding member of Climate Change AI (CCAI), an organization dedicated to catalyzing impactful work at the intersection of climate change and machine learning, reflecting a career-long commitment to these issues.
Her personal professional motto is: "Move slow and fix things. "
Read the full overview →They are generally strong communicators and are not easy to convince. They ask a lot of questions and rely heavily on information and collaterals. They can sound friendly and charming but can quickly change gears to become inquisitive and probing.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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