Join CHIP for a talk led by Dr. Rishi Kamaleswaran, an Associate Professor of Surgery and Anesthesiology at Duke University School of Medicine (rescheduled from Feb 19)

Title: Every breath, every beat: Integrating multi-modal Real-Time data streams for explainable clinical prediction systems in the ICU

Bio: Rishi Kamaleswaran, PhD, is a computer scientist by training, he develops machine learning models using multimodal data to improve patient outcomes, with expertise spanning ICU physiology, omics data, and biomedical engineering. Much of his recent work involves modeling complex multimodal insight to study the mechanisms behind the onset of deterioration in critically ill and immunocompromised patients across the lifespan, such as progression to single or multiple organ dysfunction, sepsis, respiratory and neurological dysfunction. His goal for his research program is based on developing intelligent systems that can be used to develop new cures for diseases and advance clinical understanding of critical and acute illness. He has been funded by the NIH and other industry and private foundations to advance research in those fields.