معرفی
Eva Portelance is an Assistant Professor in the Department of Decision Sciences at HEC Montréal and a member of Mila — Québec Artificial Intelligence Institute. Her research bridges AI and cognitive science, focusing on how humans and machines learn language and reason about complex problems.
Education: Ph.D. in Computational/Cognitive Linguistics from Stanford University (advisors: Dan Jurafsky and Mike C. Frank). Postdoctoral training at Mila and McGill University with Timothy J. O'Donnell and Siva Reddy.
Research Interests:
- Machine learning applications in cognitive science
- Language understanding and reasoning mechanisms
- Interdisciplinary approaches to human-AI learning
Professional Activity: Actively seeking PhD/Master’s students for 2025 admission. GitHub repository highlights work on VQA models and function word learning. Collaborates with prominent institutions like Stanford and Mila.
Affiliations: HEC Montréal, Mila, and contributions to open-source projects like the CLEVR dataset analysis (Johnson et al., 2017).
