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I am a computational imaging scientist with a focus on MR imaging who is interested in all sorts of imaging modality, such as cameras, CT, and so on. After being formulated as an inverse problem, I usually approach these imaging problems from the statistical aspect to develop new algorithms for the improvement of image quality and the quantification of uncertainty.

I am also a machine learning engineer with many experiences in developing and deploying generative models using frameworks like PyTorch, TensorFlow/JAX, and TensorRT. I am comfortable with Python, C/C++, shell scripting, and a Linux-like environment. I have been actively contributing to open-source projects, such as Berkeley Advanced Reconstruction Toolbox (BART).

I’m currently working on MR image reconstruction with generative models. Feel free to check out my project page and ask me about MRI reconstruction.