I am an M.S. student in Electrical and Computer Engineering at Duke University. Before coming to Duke, I received my B.S. in Games from the University of Utah.
I am fortunate to work with Prof. Ehsan Abadi and Prof. Navid NaderiAlizadeh at Duke University on reinforcement learning for CT protocol optimization. I also collaborate with Prof. Huaizu Jiang at Northeastern University on human–object interaction in soccer. Previously, I worked with Prof. Weitong Zhang at UNC–Chapel Hill on transformer-based trajectory modeling and data augmentation for offline reinforcement learning.
Research interests. My research focuses on building intelligent systems that can learn useful representations and make reliable decisions from data. I am broadly interested in reinforcement learning, representation learning, and diffusion models. A central direction of my current work is human–object interaction, where I study how models understand people, objects, and their interactions over time, with broader machine learning applications to medical imaging.
Updates
- (May 2026 — Present) Working with Prof. Huaizu Jiang at Northeastern University on human–object interaction in soccer scenarios.
- (Oct. 2025 — Present) Joined Duke CVIT to study reinforcement learning-based CT protocol optimization with Prof. Ehsan Abadi and Prof. Navid NaderiAlizadeh.
- (Aug. 2024 — Apr. 2025) Researched transformer-based trajectory modeling and offline RL data augmentation with Prof. Weitong Zhang at UNC–Chapel Hill.
Publications
arXiv · 2026
Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Trials
* Equal contribution.