Tegan Brennan

Tegan Brennan is an Assistant Professor at the Department of Computer Science within the Charles V. Schaefer, Jr. School of Engineering and Science at Stevens Institute of Technology. She holds a PhD in Computer Science from the University of California Santa Barbara (2020). Her research focuses on software verification, side-channel analysis, computer security, and program analysis. Prior to academia, she worked as an Applied Scientist at Amazon (2020).

Her research interests emphasize securing computational systems through rigorous analysis of timing channels, adaptive neural networks, and compiler-induced vulnerabilities. She has contributed to methods like probabilistic reachability analysis and fuzzing techniques for identifying security flaws.

Brennan has received accolades such as the UCSB Outstanding Dissertation Award (2020) and ICSE Student Research Competition Third Place (2020). She actively serves on program committees for IEEE Security and Privacy, CSF, and BAR conferences, reflecting her leadership in the cybersecurity community.

Her grants include CRII: SaTC funding for studying timing channels in neural networks. Courses taught include CS284 (multiple semesters), CS516, CS396, and CS810-E, covering software engineering and advanced security topics.