Ed Amorim, MD is a neurologist caring for patients with coma and acute brain injuries at the Zuckerberg San Francisco General Hospital and the University of California, San Francisco.

Dr. Amorim has dedicated his career to understanding the mechanisms of coma and consciousness and how we might be able to accelerate patient recovery. His research focuses on decyphering the neural code of coma and consciousness using non-invasive and invasive brain monitoring technologies. Combining computational neuroscience tools and artificial intelligence (AI), his work integrates electroencephalography (EEG) and electrocorticography (ECoG) with other multimodal physiology, neuroimaging, and Electronic Health Record data. His research team is using traditional statistics as well as novel machine learning and deep learning methods to bring context and interpretability to models that aim to advance precision medicine in traumatic brain injury, cardiac arrest, epilepsy, and stroke.

Dr. Amorim completed fellowship training in neurocritical care and epilepsy at the Massachusetts General Hospital and Brigham and Women's Hospital (Harvard Medical School) followed by postdoctoral training in machine learning and human neurophysiology at the Massachusetts General Hospital and Massachusetts Institute of Technology at the Computer Science and Artificial Intelligence Laboratory.