Zacharie Chenail-Larcher
PhD researcher: NLP4SE & SE4NLP
PhD Candidate, École de technologie supérieure (ÉTS)
About
- LLM code smells
- Prompt ambiguity detection
- Prompt injection defense
- Code quality & security in LLM-generated code
- Automatic E2E test generation
- Grey Literature Extraction
- Dataset Generation
Education

Invited PhD Researcher
Master's in Software Engineering
Automatic E2E test case generation for IoT systems
Bachelor's in Computer Science and Software Engineering
Publications
RiskyPy: Toward Automated Prompt Generation Tasks Calibrated to Model Proficiency for Joint Security and Functionality Evaluation of Generated Code
Co-First Author and equal contribution with Daniele Lunghi
https://github.com/ChL-Z/RiskyPy-Pipeline
LLM Code Smells: A Taxonomy and Detection Approach
Co-First Author and equal contribution with Brahim Mahmoudi
https://github.com/Brahim-Mahmoudi/Code_Smell_LLM
Talks
Activities
Undergraduate Final Project Supervision, Continuation (Summer 2026)
Supervised a new group of students continuing the Winter 2026 project on an AI-based web platform for automated scientific literature search at ÉTS. Faculty supervisors: Naouel Moha and Ghizlane El Boussaidi.
Undergraduate Final Project Supervision (Winter 2026)
Initiated and led a final undergraduate project on an AI-based web platform for automated scientific literature search at ÉTS. Supervised and mentored the student team as project lead and technical advisor. Faculty supervisors: Naouel Moha and Ghizlane El Boussaidi.
Volunteer: Staff JFFI 2026
Helped with the organisation of JFFI 2026.
Graduate Student Mentoring (Winter 2026)
Guided Ghiles Amrane on his Master's project titled 'Evaluation and optimization of simple, black-box, and accessible approaches for prompt injection detection in LLM-based applications'. Faculty supervisor: Naouel Moha.
Volunteer: Staff JFFI 2025
Helped with the organisation of JFFI 2025.