Julia Rubin

Julia Rubin is an Associate Professor at the University of British Columbia (UBC), Vancouver, Canada, and holds the Canada Research Chair Tier II in Trustworthy Software. She leads the UBC Research Excellence Cluster on Trustworthy ML and is an associate faculty member in the Department of Computer Science. Her research focuses on the quality, security, and reliability of software and AI systems, with emphasis on automated analysis, auditing, and regulatory compliance.

• PhD in Computer Science, University of Toronto
• Postdoctoral researcher, MIT Department of Electrical Engineering and Computer Science
• Over a decade of industry experience at IBM Research as research staff member and group manager

Her work includes developing explainable malware detection techniques, generative AI-driven code management, and formal reasoning tools. Awards include the Alexander von Humboldt Fellowship (2023), Killam Fellowship (2023), and multiple Distinguished Paper Awards. She teaches courses such as Software Engineering (CPEN 321) and Trustworthy Machine Learning (EECE 571J), and has served as Program Committee Co-Chair for ASE (2022). Prospective students are encouraged to apply with evidence of research aptitude aligned with her group’s focus.