Cameron Carlin is manager of clinical decision support data science at City of Hope, one of the largest cancer research and treatment organizations in the United States. His work focuses on transforming the data processing pipeline of research-focused machine learning into production-ready implementations. In his time at City of Hope, Cameron has led real-time deployments for predicting sepsis risk in bone marrow transplant (BMT) patients, 90-day prognostication and surgical complication risk. After graduating from the University of San Francisco’s Master of Science in data science program, he worked at Children’s Hospital Los Angeles, implementing deep learning techniques on electronic health records (EHR) from 10 years of Pediatric ICU episodes. He is well-versed in exploratory data analysis, statistical modeling, probability theory and algorithm development.