Gail E. Kaiser

Gail E. Kaiser is a Professor of Computer Science at Columbia University. She holds a PhD from Carnegie Mellon University and a ScB from Massachusetts Institute of Technology. Her research spans software engineering, security, program analysis, and intersections between AI and software engineering.

Research Focus:
Her work includes static/dynamic program analysis, software testing methodologies, and pioneering applications of software engineering principles to machine learning systems (SE4AI) and vice versa (AI4SE). Historical contributions include early developments in IDE precursors and cloud adaptation techniques.

Academic Service:
Actively serves on program committees for premier conferences including ASE, ICSE, PLDI, ESEC/FSE, and SPLASH. Recent committee roles include:

• ASE 2025 Research Papers PC Member
• ICSE 2025 Research Track Committee
• PLDI 2024 Review Committee

Advising:
Mentored PhD student Chris Murphy in developing metamorphic testing techniques for ML systems.