About Me

I’m a Senior AI & Computer Vision Engineer at Johnson & Johnson, working on cutting-edge solutions at the intersection of deep learning, computer vision, and medical imaging.

Previously, I was a Radiology AI Postdoctoral Scientist at Johnson & Johnson. Before that, I interned at Genentech Inc. in two roles:

  • Data, Analytics, and Imaging Intern (May 2022 – Aug 2022)
  • Product Development Intern (May 2021 – Dec 2021)

Research Interests

My work focuses on advancing AI for healthcare, particularly in the areas of:

  • 🧩 Representation Learning with Limited Labels
  • šŸ”¬ Biomedical Image Synthesis, Segmentation, and Detection
  • šŸ”„ Multi-modal Learning and Foundation Models for Medical Imaging

I’m passionate about building scalable, label-efficient models that can drive clinical insights and improve patient outcomes.


šŸ“š My publications can be found here: Google Scholar

Recent updates

  • July 23, 2025. One abstract accepted to ESDR 2025.
  • July 13, 2025. One abstract accepted to EADV 2025.
  • June 17, 2025. One paper accepted to MICCAI 2025.
  • April 2, 2025. One paper accepted to Frontiers in Imaging.
  • February 23, 2025. One paper accepted to Scientific Reports.
  • January 25, 2025. Revieweing manuscripts for MICCAI 2025.
  • January 2, 2025. Two papers accepted to ISBI 2025.
  • October 17, 2024. One paper accepted to Heliyon.