Justine Gehring
Justine Gehring is a specialist in the field of ML for code and obtained her master's from McGill and Mila where her research focused on generating code under challenging circumstances such as library-specific code. Previously, Justine was a research engineer at Moderne, focusing on leveraging AI for large-scale code refactoring and impact analysis. Presently, she leads the AI team at Gologic, where she develops AI-driven solutions to enhance DevOps workflows and accelerate software delivery.
Montreal 2026 sessions
Beyond the chatbot, beyond the IDE: AI in my CI/CD
English session - Intermediate
AI’s potential in software development goes far beyond code generation or IDE chatbots. This talk explores five AI capability families (Learning, Coding Assistants, Automation & Agents, Planning, and Data Exploration) that can reshape the CI/CD lifecycle. From process assessment to VM migrations, centering AI integration around developers throughout the entire lifecycle of planning, coding, deployment, and monitoring unlocks greater ROI.
Évaluer les LLMs: ce que mesurent et ratent les benchmarks
French session - Intermediate
Claude ici, GPT par-ici, Qwen par-là, mais comment les évaluer ? Cette session explore ce que mesurent et ratent des benchmarks comme HumanEval, MBPP, et DS-1000. Nous comparerons les métriques textuelles et basées sur l’exécution, verrons comment les benchmarks peuvent être biaisés, et expliquerons les jeux d’entraînement, de test et tests cachés. Vous apprendrez à juger la qualité et l’utilité d’un dataset, et même comment en construire un.
