Dora JAMBOR

Dora Jambor serves as a graduate student in Computer Science at McGill University and researcher at Mila - Quebec AI Institute, where she works under the supervision of Joelle Pineau and Dzmitry Bahdanau. Her research focuses on semantic parsing, specifically developing AI models that can efficiently translate natural language into executable programs with better generalization capabilities. Before her academic career, she worked as a machine learning engineer at Shopify, developing recommender systems for personalization and search problems. Her experience includes roles as Visiting Researcher at ServiceNow and Scientist in Residence at Creative Destruction Labs and NextAI, where she advised various startups. Her recent work includes significant contributions to graph representation learning, particularly through her paper on few-shot link prediction in knowledge graphs. Through her research at the intersection of natural language processing and graph representation learning, she continues to advance the field while developing more efficient and generalizable AI models.