"I build AI tools that can genuinely support clinical decision-making, especially where resources are limited, and I care deeply about making those systems reliable, fair, and useful in the real world."
Dr. Sivarama Krishnan Rajaraman is an Associate Principal at Guidehouse Digital LLC and works with the Division of Intramural Research at the National Library of Medicine, part of the U.S. National Institutes of Health, as a Senior Medical Imaging Deep Learning Image Scientist. He earned his Ph.D. in Information and Communication Engineering from Anna University in India and later completed postdoctoral research at NLM and NIH.
His work sits at the intersection of artificial intelligence and clinical medicine. Over the years, he has focused on problems such as computer-aided TB and COVID-19 screening, mobile malaria diagnostics, generative modeling for data scarcity, and rigorous evaluation for real-world deployment, including calibration, uncertainty, fairness, and domain shift.
His research is closely aligned with the broader push for trustworthy and responsible clinical AI in public health. In practice, that means building systems that are not only accurate, but also transparent, equitable, and dependable when they are used in high-impact settings.
