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June 2026 – August 2026
Research Project: Generative Boltzmann Optimization via Conditional Diffusion Models for Black-Box Optimization
Designed and implemented a diffusion-based generative optimization framework for black-box optimization in high-dimensional search spaces. Applied the framework to standard benchmark problems and examined how different model configurations influenced its optimization performance.
June 2026 – August 2026
Research Project: Improving Cross-Site Whole-Heart Segmentation
Developed a modality-routed 3D segmentation pipeline to improve cross-site robustness across cardiac CT and MRI data. Site-informed appearance augmentation improved performance on held-out data from both modalities.
September 2025 – December 2025
Research Project: A Machine Learning Approach to Predicting NBA Draft Outcomes
Applied machine learning to NCAA player data to predict NBA draft outcomes, developing classification and regression models to estimate draft status and likely selection position. Examined model results to identify the aspects of college performance most influential in draft decisions.
August 2025 – May 2026
Research Project: Fabrication of Encapsulated 2D Material Heterostructures
Conducted research on encapsulated 2D material heterostructures by preparing silicon substrates and exfoliating thin material flakes. Used layer-transfer techniques to assemble the flakes into multilayer stacks, creating samples for further characterization and study.