🔭 I'm currently working on: Self-supervised learning for medical image analysis — including my BSc thesis on frequency-band SSL for offline MRI reconstruction aimed at clinical use in resource-constrained hospitals, plus several manuscripts under review (a JMRI critical review of SSL for accelerated MRI, PLOS ONE papers on JPEG2000 compression for histopathology and AI for women's reproductive health, and AGRI-KD for rice disease diagnosis)
👯 I'm looking to collaborate on: label-efficient and self-supervised computer vision projects, especially in medical imaging, low-resource healthcare AI, and agricultural disease detection
🤝 I'm looking for help with: finding MS/PhD opportunities and labs working on medical image analysis or trustworthy/explainable AI for healthcare — happy to connect with anyone doing related research
🌱 I'm currently learning: vision transformers and explainable AI methods (Grad-CAM) for clinical imaging applications
💬 Ask me about: self-supervised learning, medical image analysis, computer vision for low-resource clinical settings, or the peer review process (IEEE Access, NeurIPS, MICCAI)
⚡ Fun fact: I've authored/co-authored ~11 peer-reviewed papers (journal articles, conference papers, and a Springer book chapter) while still completing my undergrad
