My research focuses on developing next-generation foundation models for cancer diagnostics by integrating heterogeneous biomedical data and agentic AI systems. My goal is to advance translational healthcare by designing robust, scalable AI methods that improve diagnostic accuracy and support clinical decision-making. I have led and contributed to end-to-end AI projects, spanning model development, deployment, and interdisciplinary collaboration with clinical and research teams. I am particularly interested in building AI systems that bridge methodological innovation and real-world clinical impact, while fostering collaborative, open, and inclusive research environments.
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The training and inference codes of LymphomaMIL (CVPR Workshops 2026) has been released!
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The training and inference codes of CytoDiff (ICCV Workshops 2025) has been released!
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The testing/inference codes of RBSRICNN (NeurIPS Workshops 2021) has been released!
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For reproducibility, run inferences of SR models in the browser and docker image hosted on replicate.ai for the SRResCGAN, SRResCycGAN, and ISRResCNet!


