Advisor: Nick Feamster
I am a third-year Ph.D. student working in the NOISE Lab. Previously, I received my B.S. in Computer Science from Purdue University in 2020, with a focus on security. At Purdue, I worked with Z. Berkay Celik on IoT security and fraud in online communities and have papers for these works in CCS and USENIX Security.
I am interested in better understanding and creating systems for improving the Internet. I use machine learning and empirical network measurement to understand how people and companies implement their Internet-facing systems, especially when these implementations have flaws or security and privacy implications. My current research uses language modeling to provide explainability for human decisions behind misconfiguration in networking protocols (e.g., TLS, DNS).
