Name in Chinese: 王 子豪 (Wang Zihao)

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I am a Research Fellow in the Athinoula A. Martinos Center for Biomedical Imaging, and a Postdoctoral Fellow at Harvard University advised by Dr. Ona Wu. I received my Ph.D. in Computer Science at Inria, under the supervision of Dr. Hervé Delingette. Before that, I hold positions at Philips Healthcare and GE Healthcare.

Research Theme:

I focus on AI research for Engineering and Healthcare. My work involves developing principled machine learning algorithms for healthcare applications, with a particular emphasis on medical imaging. This includes working with generative learning models to reduce artifacts in CT imaging, applying Bayesian generative frameworks for organ shape analysis, developing discriminative learning methods for anatomical landmarks detection, and using attention mechanisms in image registration. Beyond healthcare, my research extends to the theoretical development of novel learning algorithms, such as harnessing statistical features for generation process in diffusion models and introducing backward stochastic differential equations for score matching in diffusion models. Additionally, I’ve utilized AI solutions to tackle practical problems in electronic engineering. My goal is to drive impactful and groundbreaking research in machine learning, focusing on identifying crucial challenges in engineering and clinical domains that can be effectively addressed using computational methods, while fostering valuable collaborations across diverse fields.