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Gail Kaiser is a Professor at Columbia University's Data Science Institute and the Department of Computer Science. Her research interests focus primarily on software engineering, specifically in building systems with an emphasis on static and dynamic program analysis techniques aimed at enhancing software reliability and security. Over the years, she has received funding from several prestigious organizations including NSF, NIH, DARPA, ONR, NASA, and the NYS Science & Technology Foundation. In addition to her research, Kaiser has served on the editorial board of IEEE Internet Computing and was a founding associate editor for the ACM Transactions on Software Engineering Methodology. She has chaired various committees including the ACM SIGSOFT Symposium on Foundations of Software Engineering and her department’s doctoral program since 1997. Kaiser received her PhD from Carnegie Mellon University and her ScB from the Massachusetts Institute of Technology. Her notable work includes the investigation of testing “non-testable” programs and the development of collaborative environments for computational scientists, showing her commitment to bridging gaps in software development for scientific applications.
Department of Anthropology (GSAS)