Projects

• Bayesian Optimization with Gaussian Process Panel Models: Studying preference-based Bayesian optimization with General Preference Embedding Models at the University at Albany, SUNY.
• Minimal-Edges Graph Neural Networks for Efficient Graph Learning: Designing graph neural network architectures that learn task-specific sparse adjacency structures layer by layer.
• Methodology for Asset Operation LLM Agents: Developing a software framework that combines large language models, structured task planning, tool calling, and evaluation pipelines. See SPIN (arXiv:2605.14051).
• Campus Activity Recommender: Technical lead for a HackRPI 2025 team project that built a campus club and event recommender web application with a LinUCB bandit engine and Flask APIs.