Emery N. Brown, M.D., Ph.D.
Emery N. Brown is the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience at the Massachusetts Institute of Technology (MIT); the Warren M. Zapol Professor of Anaesthesia at Harvard Medical School; and an anesthesiologist at Massachusetts General Hospital (MGH). Dr. Brown received his B.A. in Applied Mathematics (magna cum laude) from Harvard College, his M.A. and Ph.D. in statistics from Harvard University, and his M.D. (magna cum laude) from Harvard Medical School. He completed his internship in internal medicine at the Brigham and Women’s Hospital and his residency in anesthesiology at MGH. Dr. Brown is an anesthesiologist-statistician whose experimental research is defining the neuroscience mechanisms of how anesthetics work. This research has important implications for changing anesthesia care as well as for a broad range of other problems in clinical neuroscience. He is also widely recognized for his development of statistical and signal processing methods for neuroscience data analysis. Dr. Brown served on President Obama’s BRAIN Initiative Working Group. He is the recipient of an NIH Director’s Pioneer Award, an NIH Director’s Transformative Research Award, a Guggenheim Fellowship in Applied Mathematics, the American Society of Anesthesiologists Excellence in Research Award, the Dickson Prize in Science from Carnegie-Mellon University and a doctorate honoris causa from the University of Southern California. Dr. Brown is a fellow of the American Academy of Arts Sciences and the National Academy of Inventors. He is one of fewer than 25 people who are members of the National Academy of Medicine, the National Academy of Sciences and the National Academy of Engineering. He is the first African American, first statistician and first statistician elected to all three National Academies. At MIT, Dr. Brown teaches courses in statistics and data analysis for undergraduate and graduate students in neuroscience. He is developing a curriculum to teach probability and statistics to students in 6th through 12th grades.