Contact Info
JCL 269

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).


AI & Machine Learning

Foundations and applications of computer algorithms making data-centric models, predictions, and decisions

Security & Privacy

Understanding and defending against emerging threats in our increasingly computational world

Systems, Architecture & Networking

Design and analysis of computing systems: cloud, edge, Internet, quantum, and beyond
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