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Chiara Sabatti is a Professor in the Department of Biomedical Data Science at Stanford University. Her research focuses on statistical models that enhance the understanding of the genetic basis of human traits. With the advent of modern high-throughput technology, she develops statistical methodologies to address the challenges presented by high-dimensional data, aiming to improve the comprehension of the molecular foundations of health-related traits. Sabatti's work includes facilitating clinical trials, notably studying the use of perfusion computed tomography in predicting treatment efficacy for patients with advanced renal cell carcinoma. Throughout her academic career, she has held various administrative roles, including Associate Director of Stanford Data Science and Vice Chair of Biomedical Data Science.
Stanford University • Stanford, California
Teaching and conducting research in Biomedical Data Science and Statistics.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.