Stanford University
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Aruna Subramanian
Clinical Professor, Medicine - Infectious Diseases
Current Research and Scholarly InterestsMy research and scholarly interests have focused on tailoring antimicrobial prophylaxis in specific highly immunocompromised hosts depending on their specific infectious disease risks. I am interested in developing diagnostic algorithms and treatment protocols that will improve the quality of care in transplant and oncology patients.
I also have an interest in training ID fellows in this very specialized area of patient care. To that end, we have started a new ICHS ID fellowship with a specialized curriculum and are developing supplemental educational materials to enhance this training, which can be implemented at other academic training centers. -
Barathi Subramanian
Postdoctoral Scholar, Pathology
BioI am a Postdoctoral Scholar in the Department of Pathology and the Center for AI in Medicine & Imaging at Stanford University. My research focuses on computational pathology, medical AI, and computer vision, with emphasis on whole-slide image analysis, artifact-aware preprocessing, tissue classification, segmentation, survival prediction, and multimodal pathology foundation models.
I develop end-to-end AI pipelines for digital pathology, including whole-slide image preprocessing, tile extraction, quality control, annotation workflows, foundation-model-based feature extraction, and clinically relevant downstream prediction tasks.
Before joining Stanford, I completed my Ph.D. in Computer Vision at Kyungpook National University, South Korea, where I worked on anomaly detection, object detection, gesture recognition, and real-time computer vision systems. My broader goal is to build reliable, interpretable, and clinically useful AI systems for pathology and healthcare. -
Sakti Subramanian
Research Assistant, Bioengineering
Undergraduate, BioengineeringBioSakti Subramanian is an undergraduate student at Stanford University studying Biological Engineering. He is dedicated to the growth of the field of synthetic biology, whether that be by solving research problems, educating the next generation of scientists, or authoring policy recommendations for the US bioeconomy.
