About me
I am a Ph.D. student in Computer Science at the University of Georgia, working at the intersection of artificial intelligence and medicine. My research focuses on developing intelligent systems for early disease detection, precision medicine, and animal behavior analysis using multimodal data.
My work combines computer vision, machine learning, and large language models to build self-improving systems that can learn from limited data and adapt to real-world environments.
Research Interests
Current Work
- Developing label-efficient pipelines for object detection using foundation models
- Building AI systems for medical image analysis and clinical decision support
- Designing multimodal tracking systems integrating vision and sensor data
- Exploring connections between behavior modeling and biological intelligence
Selected Publications
2026 Foundation Models as Data Engines: Label-Efficient Learning in Modern Computer Vision
2024 Artificial Intelligence Breakthroughs in Early Diagnosis and Precision Treatment of Breast Cancer: A Multimethod Study
Ongoing Projects
- Animal behavior tracking in multi-sensor/multi-camera environments
- Patient Copilot for educating patients and supporting decision-making
- Autonomous data curation using foundation models and vision-language models