Research in quantum networking, artificial intelligence, and machine learning across Binghamton University and SUNY Polytechnic Institute.
Under submission, IEEE INFOCOM 2027
Proposed and evaluated a verified connection establishment protocol for end-to-end entanglement in quantum networks. Built and debugged NetSquid/SquidASM simulations benchmarking against VBQT and other baselines, prepared figures, and contributed to writing and revision.
Ongoing thesis research at Binghamton University exploring the intersection of quantum networking and machine learning. Investigating how ML techniques can be applied to optimize and analyze quantum network protocols.
Research assistant at SUNY Polytechnic Institute, expanding a personal knowledge management tool into a multi-user platform using MERN full-stack development. Developing instructional materials for integrating TiddlyWiki into a graduate-level course curriculum.
Created a personal knowledge management system for collecting and analyzing AI chatbot conversations while contributing to an open-source wiki platform. Managed Agile sprints, led code reviews and system testing across a 3-person team, and presented findings via poster presentation.
Fine-tuned multiple instruction-based large language models to teach programming in Lua. Applied model distillation techniques to generate synthetic training datasets and compared various models and training configurations, documenting findings in a research paper.