About Me
Iām 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 ā Aug 2022)
- Product Development Intern (May 2021 ā Dec 2021)
Research Interests
My work focuses on advancing AI for healthcare, particularly in the areas of:
- š§© Representation Learning with Limited Labels
- š¬ Biomedical Image Synthesis, Segmentation, and Detection
- š„ Multi-modal Learning and Foundation Models for Medical Imaging
Iām passionate about building scalable, label-efficient models that can drive clinical insights and improve patient outcomes.
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.