Hi! This is Zhengxu Tang (唐正旭). I am currently a senior at the University of Michigan, pursuing a double major in Mathematical Sciences - Operations Research and Modeling and Statistics.
At present, I’m engaged as a research assistant in the Biomedical AI Lab, under the guidance of Dr. Liyue Shen. Previously, I worked in the Li Lab, mentored by Dr. Jinxing Li.
Should you share similar interests or consider potential collaboration, please feel free to reach out to me at tangzx@umich.edu. I’d love to engage in discussions and explore opportunities for collaboration.
My current research focuses on building a multimodal model based on multiple types of medical data, such as medical images, genomics data, EHRs, and so on. I am particularly interested in Multimodal Learning and its applications in the Biomedical field. Human process various modes of information-including sight, sound, smell, and touch-constantly, and this information shapes our cognition and understanding of the world. Everything is interconnected. For this reason, I firmly believe that multimodal deep learning models are the most effective tools for addressing biomedical problems. l am committed to devoting my skills and expertise to this meaningful endeavor, with the aim of contributing to societal well-being
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