Yabo Ling is a Senior Data Scientist with seven years of experience translating research-grade machine learning into production ad systems, currently shaping personalization and bidding strategies on Unity Ads in Montreal. With an MS in Artificial Intelligence from Université de Montréal and hands-on research at McGill processing ~15M dietary records, she blends sequential recommendation research (hierarchical RNNs) with pragmatic A/B-driven ad evaluation. Her background spans deploying data-aware web apps with containerized platforms and teaching modern NLP, giving her a rare mix of research rigor, production deployment experience, and pedagogy. Colleagues benefit from her ability to move models from prototype to scale while keeping user goals and preferences central to system design.
7 years of coding experience
4 years of employment as a software developer
Summer School Student Big Data, Summer School Student Big Data at University of California, Berkeley
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Université de Montréal
Bachelors Management Information System, Bachelors Management Information System at Soochow University (CN)
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