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Dr. Andrew Sweatt is an Assistant Professor at Stanford University, specializing in the fields of internal medicine, pulmonary diseases, and critical care medicine. He is board-certified and has dedicated his career to the treatment and evaluation of pulmonary hypertension. After completing his subspecialty fellowship in 2016, he joined a multidisciplinary team focused on pulmonary hypertension research and patient care. Based primarily at the main campus, he also sees patients at the East Bay site in Emeryville. His clinical interests lie in pulmonary hypertension and pulmonary disease. He has been a principal investigator for various NIH-funded projects, focusing on developing machine learning approaches to classify pulmonary arterial hypertension (PAH) patients based on immune profiling. His innovative research aims to discover and validate PAH immune phenotypes and their connection to clinical risk stratification, thus influencing therapeutic approaches and understanding disease progression. Additionally, he contributes to the development of blood biomarkers related to PAH pathobiology and participates in multiple committees and advisory roles within professional organizations. Dr. Sweatt received his medical education from Georgetown University and completed his fellowship at Stanford University in pulmonary critical care.
Stanford University • Stanford, CA
Specializes in internal medicine, pulmonary diseases, and critical care medicine.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.