Research

Research & Publications

I work at the intersection of machine learning and medicine, building deep-learning systems for medical image analysis, computer vision, and applied AI. My published work spans gigapixel histopathology, multiple-instance learning, and curated medical datasets. Selected publications and research interests are listed below.

Selected Publications

Research Interests

Medical AI

Deep learning for digital pathology, radiology, and clinical decision support.

  • Lupus Nephritis Classification
  • Glioma Diagnosis
  • Breast Cancer Subtyping
  • Multiple Instance Learning

Machine Learning

Core methods that power my applied work — from representation learning to multimodal fusion.

  • Computer Vision
  • Self-supervised Learning
  • Transfer Learning
  • Multimodal Models

Applied Research

Bridging research and product, with a focus on usable, deployable AI systems.

  • Emotion AI
  • ECG-based Question Answering
  • Human-AI Interaction
  • Generative Models

Interested in collaborating?

I'm open to research collaborations and applied ML projects. Take a look at the portfolio or hire me for engineering work, or read more on the blog.