Anoop Mayampurath

Anoop Mayampurath is an Assistant Professor at the University of Wisconsin–Madison, affiliated with the Division of Pulmonary Medicine in the Department of Medicine, School of Medicine and Public Health. He co-leads the ICU Data Science Lab with Drs. Churpek and Afshar, focusing on developing machine learning models to predict clinical outcomes using electronic health record (EHR) data, including structured, unstructured, and imaging data. His research emphasizes explainable AI for pediatric critical care and addressing healthcare disparities through predictive analytics.

Key research interests include:

• Prediction of critical illness outcomes in hospitalized patients (e.g., substance misuse, postoperative complications)
• Integration of multimodal data (text, imaging, vital signs) for clinical decision support
• Development of pediatric early warning systems using machine learning
• Evaluation of bias in clinical documentation and AI-generated language

His work spans applications in critical care, oncology, and public health, with a focus on translational research to improve patient outcomes. Notable contributions include models predicting postoperative venous thromboembolism and overdose fatality review tools. Dr. Mayampurath collaborates across disciplines to address gaps in healthcare data science and clinical informatics.

Advising and grants: While specific grant details are not listed, his lab’s projects suggest involvement in NIH-funded initiatives and collaborative industry partnerships. His team’s work is published in high-impact journals and presented at major medical informatics conferences.

Labs/Teams: Primary affiliation with the ICU Data Science Lab, contributing to the Pediatric Acute Lung Injury and Sepsis Investigators Network (PALISI), and collaborations with UW-Madison’s Department of Biostatistics and Medical Informatics.