Profiles

I study whether AI systems actually work when it matters. A model that performs well on a benchmark is not the same as one that holds up in the real world. That gap is what my research is about.

My work touches three areas:

(1) I analyze how cyberbullying spreads across platforms, because detection models need to reflect how harmful behavior actually moves through social networks.

(2) I build benchmarks to test whether large language models can reason over formal specifications, because that question deserves evidence, not assumption.

(3) I examine how federated learning systems fail under adversarial conditions, because distributed AI carries real security risks that are easy to overlook.

The thread connecting all of this is evaluation. I want to build tools that show us where AI breaks down before real consequences follow. That is the problem I keep returning to, and the one I plan to build my career around.

I conduct this research under the supervision of Dr. Yasin N. Silva and Dr. Mohammed Abuhamad at Loyola University Chicago.

Degrees

BS Computer Science (Completed)

MS Data Science (Completed)

PhD Computer Science (In Progress)

Research Interests

AI evaluation and benchmarking, cyberbullying detection, cross-platform contagion analysis, large language model reasoning, formal verification, federated learning security, adversarial robustness, and social computing.

Selected Publications

Google Scholar