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David Wagner earned his Ph.D. in Computer Science from the University of California, Berkeley, after completing a Master's degree in the same field at Berkeley and a Bachelor's degree in Mathematics at Princeton University. His research interests focus on various aspects of computer security, including systems security, usable security, and program analysis security. He has worked extensively in areas such as security for wearable devices, smartphone security, software security, electronic voting systems, wireless security, sensor network security, and applied cryptography. Wagner has published two books and over 90 peer-reviewed scientific papers, contributing significantly to the field of computer security. He is a member of Berkeley's security research group and serves as the principal investigator for the Intel Science and Technology Center for Secure Computing. Additionally, he is an active participant in the TRUST and ACCURATE research centers, involved in projects promoting security in technology. Some of his notable software developments include OpenCount, designed for auditing elections using optical-scan paper ballots, and Joe-E, a Java-based programming language focused on secure programming. His scholarly work includes research on privilege separation for database access and the verification of voting machines, demonstrating a commitment to enhancing security in critical systems.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.