معرفی
Saber Sheybani is a Postdoctoral Researcher at Stanford University, currently affiliated with the Aghaeepour Lab. His work focuses on applying AI to healthcare, particularly patient phenotyping and long-term trajectory modeling using electronic health records and multimodal data.
- Education: BSc in Electrical and Control Engineering (University of Tehran), PhD in AI and Computational Neuroscience (Indiana University Bloomington)
His research bridges computational neuroscience and machine learning, exploring parallels between human visual development and AI systems. He also investigates applications of deep learning in healthcare informatics and medical data analysis.
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