Christian Kästner

Christian Kästner is a Professor at Carnegie Mellon University, actively contributing to software engineering, machine learning systems, and open-source software research. He serves on numerous conference committees, including the OOPSLA Review Committee (2025), ICSE Research Track (2024), and ESEC/FSE Program Committee.

Research Interests

His work focuses on:

• Integrating machine learning into production systems
• Open-source dependency management and security
• Automated program repair and performance modeling
• Collaboration challenges in ML-enabled systems
• Software engineering education for AI/ML

Conference Contributions

Christian has authored and reviewed papers on topics spanning supply chain security, notebook tooling, and system-wide ML engineering. Notably:

• Keynote: From Models to Systems at CAIN 2024
• Research on LLM integration, dependency abandonment, and fairness analysis
• Committee roles in ICSE, ESEC/FSE, ASE, and SPLASH