Julia Rubin

Julia Rubin is an Associate Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Canada, holding the prestigious Canada Research Chair in Trustworthy Software. She leads the UBC Research Excellence Cluster on Trustworthy ML and serves as an Associate Faculty Member in the Department of Computer Science. Her academic journey includes a PhD from the University of Toronto and postdoctoral research at MIT, complemented by nearly a decade of industry experience at IBM Research where she worked as a research staff member and group manager.

• PhD in Computer Science, University of Toronto
• Postdoctoral Research, MIT Department of Electrical Engineering and Computer Science
• Research Staff Member and Group Manager, IBM Research (10 years)

Professor Rubin's research centers on quality, security, and reliability of software and AI systems. Her work develops automated solutions for analyzing, auditing, and improving these systems, with particular focus on reliable approaches for malware detection, code management techniques combining generative AI with program analysis, and technology for regulatory compliance of AI systems. Her research spans mobile security, smart contract vulnerabilities, program analysis techniques, and trustworthy machine learning.

Analysis of her 15 most recent publications reveals strong emphasis on software security (particularly in mobile and blockchain applications), program analysis techniques (especially slicing methods), and microservice architecture. Her work consistently bridges theoretical foundations with practical applications, often involving empirical studies and tool development. The publications demonstrate evolution from traditional software analysis toward AI-integrated approaches while maintaining rigorous methodology.

• 2023 Alexander von Humboldt Research Fellowship for Experienced Researchers
• 2023 Killam Faculty Research Fellowship
• 2022 CS-Can | Info-Can Outstanding Early Career Computer Science Researcher Award
• Multiple Distinguished/Best Paper Awards at major conferences
• Canada Research Chair, Tier II
• IBM CAS Project of the Year Award

Professor Rubin actively mentors students and contributes to the academic community through program committee roles, including serving as Program Co-Chair for ASE 2022. She has secured significant research funding through fellowships and industry partnerships, including IBM collaborations. Her research group (ReSeSS Research Lab) focuses on developing practical solutions for software trustworthiness challenges.

She leads the ReSeSS Research Lab at UBC, which focuses on developing automated solutions for analyzing, auditing, and improving software and AI systems. The lab's work spans multiple projects in trustworthy software, with particular emphasis on reliable and explainable approaches for security analysis, code management, and regulatory compliance of AI systems.