Nima Aghaeepour
Associate Professor (Research) of Anesthesiology, Perioperative and Pain Medicine (Adult MSD), of Pediatrics (Neonatology) and, by courtesy, of Biomedical Data Science
Our laboratory uses machine learning in various clinical settings to predict and improve patients’ outcomes. This includes integrative “multiomics” analysis across genomics, proteomics, metabolomics, and single-cell technologies, as well as quantitative clinical phenotyping using wearable devices.
Research Areas:
- Systems Biology
- Machine Learning
- Artificial Intelligence
- Multiomics Profiling
- Single Cell Biology
- Electronic Health Records
- Wearable Devices
- Maternal and Child Health
- Perioperative Care