Presentation Abstract:  As the sizes of Large Language Models (LLMs) continue to grow exponentially, it becomes imperative to explore novel computing paradigms that can address the dual challenge of scaling […]

Presentation Abstract: We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology […]

Presentation Abstract: Machine learning has been increasingly deployed for high-stakes decisions that deeply impact people's lives. My research focuses on developing interpretable algorithms and pipelines to ensure the safe and efficient […]