Stanford University
Showing 21-30 of 1,300 Results
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Rabeya Tus Sadia
Postdoctoral Scholar, Radiology
BioI am currently working on multimodal and multitask foundation models for cancer detection and surgical video analysis. My research focuses on medical image and video segmentation, MRI and ultrasound analysis, foundation models, reinforcement learning, and AI agents. My broader research spans generative modeling, causal machine learning, multimodal learning, large language models, state-space models, spatial and single-cell omics, structured data analysis, and trustworthy artificial intelligence. My goal is to develop clinically meaningful, interpretable, fair, and reliable AI methods for real-world biomedical and healthcare applications.
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Agustina D Saenz
Clinical Assistant Professor, Medicine
BioAgustina Saenz is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University School of Medicine. She earned her medical degree from the Universidad de Buenos Aires and completed her internal medicine residency, and later served as Chief Resident at Einstein Medical Center. She further pursued graduate studies at Harvard, earning a Master in Public Health from the T.H. Chan School of Public Health and a Master in Biomedical Informatics from Harvard Medical School. She also completed a Clinical Informatics fellowship at Mass General Brigham prior to joining the Stanford faculty.
Dr. Saenz’s work bridges clinical care, AI research, and health system operations. At Curai Health, she serves as a Senior Clinical Informaticist, focusing on optimizing large language models to improve diagnostic reasoning and patient safety. Her academic interests include the responsible deployment of AI in healthcare, evaluation of model generalizability, and developing system-level interventions to advance health equity. Prior to her current role, she served as Unit Medical Director and Chair of the Hiring Committee at Brigham and Women’s Hospital, where she led initiatives to enhance quality metrics and foster inclusive hiring practices.